Text Mining - n-Grams - Wordlist: How to find and count n-Grams (4-Grams) from a list in texts?
Fload92
New Altair Community Member
Dear RapiderMiner Community,
I have the
following problem and hope you can help me with it: I have a sample
of different texts with IDs (data imported form Excel) and a list of word
sequences containing four words each (4-grams, also imported from Excel). I
would like to have a matrix which shows me how often each of the 4-grams of the
list appears in each of the texts.
In my current
process I get a matrix which looks like the one I would like to have (picture
in the attachment), but „0“ is the only number displayed in the columns. In
other words, RapidMiner does not find the 4-grams in the texts, although I know
they occur in them. To help you
imagining what I mean I created and attached an example set of texts and
4-grams to this post (already as RapidMiner sample sets and as an Excel with two tabs). Each of the 4-grams should be in some of the texts. At the end of this text box
you can find my current process.
The real data set and 4-gram list are much bigger, so just creating n-grams with "Process Documents from Data" and picking the ones I need will not work unfortunately.
Thank you very much in advance for your support.
Sincerely
<?xml version="1.0" encoding="UTF-8"?><process version="9.5.001">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="9.4.000" expanded="true" name="Process">
<parameter key="logverbosity" value="init"/>
<parameter key="random_seed" value="2001"/>
<parameter key="send_mail" value="never"/>
<parameter key="notification_email" value=""/>
<parameter key="process_duration_for_mail" value="30"/>
<parameter key="encoding" value="SYSTEM"/>
<process expanded="true">
<operator activated="true" class="retrieve" compatibility="9.5.001" expanded="true" height="68" name="Retrieve" width="90" x="45" y="238">
<parameter key="repository_entry" value="../data/Boilerplates/Community_example_4-Gram_list"/>
</operator>
<operator activated="true" class="text:process_document_from_data" compatibility="8.2.000" expanded="true" height="82" name="Process Documents from Data (3)" width="90" x="179" y="238">
<parameter key="create_word_vector" value="true"/>
<parameter key="vector_creation" value="Binary Term Occurrences"/>
<parameter key="add_meta_information" value="true"/>
<parameter key="keep_text" value="false"/>
<parameter key="prune_method" value="none"/>
<parameter key="prune_below_percent" value="3.0"/>
<parameter key="prune_above_percent" value="30.0"/>
<parameter key="prune_below_rank" value="0.05"/>
<parameter key="prune_above_rank" value="0.95"/>
<parameter key="datamanagement" value="double_sparse_array"/>
<parameter key="data_management" value="auto"/>
<parameter key="select_attributes_and_weights" value="false"/>
<list key="specify_weights"/>
<process expanded="true">
<operator activated="true" class="text:transform_cases" compatibility="8.2.000" expanded="true" height="68" name="Transform Cases (5)" width="90" x="514" y="34">
<parameter key="transform_to" value="lower case"/>
</operator>
<connect from_port="document" to_op="Transform Cases (5)" to_port="document"/>
<connect from_op="Transform Cases (5)" from_port="document" to_port="document 1"/>
<portSpacing port="source_document" spacing="0"/>
<portSpacing port="sink_document 1" spacing="0"/>
<portSpacing port="sink_document 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="multiply" compatibility="9.5.001" expanded="true" height="82" name="Multiply (2)" width="90" x="313" y="238"/>
<operator activated="true" class="retrieve" compatibility="9.5.001" expanded="true" height="68" name="Retrieve (2)" width="90" x="45" y="34">
<parameter key="repository_entry" value="../data/Boilerplates/Community_example_texts"/>
</operator>
<operator activated="true" class="text:process_document_from_data" compatibility="8.2.000" expanded="true" height="82" name="Process Documents from Data (2)" width="90" x="179" y="34">
<parameter key="create_word_vector" value="false"/>
<parameter key="vector_creation" value="TF-IDF"/>
<parameter key="add_meta_information" value="true"/>
<parameter key="keep_text" value="true"/>
<parameter key="prune_method" value="none"/>
<parameter key="prune_below_percent" value="3.0"/>
<parameter key="prune_above_percent" value="30.0"/>
<parameter key="prune_below_rank" value="0.05"/>
<parameter key="prune_above_rank" value="0.95"/>
<parameter key="datamanagement" value="double_sparse_array"/>
<parameter key="data_management" value="auto"/>
<parameter key="select_attributes_and_weights" value="false"/>
<list key="specify_weights"/>
<process expanded="true">
<operator activated="true" class="text:tokenize" compatibility="8.2.000" expanded="true" height="68" name="Tokenize" width="90" x="112" y="34">
<parameter key="mode" value="non letters"/>
<parameter key="characters" value=".:"/>
<parameter key="language" value="English"/>
<parameter key="max_token_length" value="3"/>
</operator>
<operator activated="true" class="text:transform_cases" compatibility="8.2.000" expanded="true" height="68" name="Transform Cases (3)" width="90" x="313" y="34">
<parameter key="transform_to" value="lower case"/>
</operator>
<operator activated="true" class="text:generate_n_grams_terms" compatibility="8.2.000" expanded="true" height="68" name="Generate n-Grams (Terms)" width="90" x="514" y="34">
<parameter key="max_length" value="4"/>
</operator>
<operator activated="true" class="text:filter_tokens_by_content" compatibility="8.2.000" expanded="true" height="68" name="Filter Tokens (by Content)" width="90" x="648" y="34">
<parameter key="condition" value="matches"/>
<parameter key="regular_expression" value="^\w+_\w+_\w+_\w+"/>
<parameter key="case_sensitive" value="false"/>
<parameter key="invert condition" value="false"/>
</operator>
<connect from_port="document" to_op="Tokenize" to_port="document"/>
<connect from_op="Tokenize" from_port="document" to_op="Transform Cases (3)" to_port="document"/>
<connect from_op="Transform Cases (3)" from_port="document" to_op="Generate n-Grams (Terms)" to_port="document"/>
<connect from_op="Generate n-Grams (Terms)" from_port="document" to_op="Filter Tokens (by Content)" to_port="document"/>
<connect from_op="Filter Tokens (by Content)" from_port="document" to_port="document 1"/>
<portSpacing port="source_document" spacing="0"/>
<portSpacing port="sink_document 1" spacing="0"/>
<portSpacing port="sink_document 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="set_role" compatibility="9.5.001" expanded="true" height="82" name="Set Role" width="90" x="313" y="34">
<parameter key="attribute_name" value="text"/>
<parameter key="target_role" value="regular"/>
<list key="set_additional_roles">
<parameter key="text" value="regular"/>
</list>
</operator>
<operator activated="true" class="multiply" compatibility="9.5.001" expanded="true" height="82" name="Multiply" width="90" x="313" y="136"/>
<operator activated="true" class="text:process_document_from_data" compatibility="8.1.000" expanded="true" height="82" name="Process Documents from Data" width="90" x="514" y="289">
<parameter key="create_word_vector" value="true"/>
<parameter key="vector_creation" value="Term Occurrences"/>
<parameter key="add_meta_information" value="true"/>
<parameter key="keep_text" value="true"/>
<parameter key="prune_method" value="none"/>
<parameter key="prune_below_percent" value="3.0"/>
<parameter key="prune_above_percent" value="30.0"/>
<parameter key="prune_below_rank" value="0.05"/>
<parameter key="prune_above_rank" value="0.95"/>
<parameter key="datamanagement" value="double_sparse_array"/>
<parameter key="data_management" value="auto"/>
<parameter key="select_attributes_and_weights" value="false"/>
<list key="specify_weights"/>
<process expanded="true">
<operator activated="true" class="text:transform_cases" compatibility="8.2.000" expanded="true" height="68" name="Transform Cases (2)" width="90" x="581" y="34">
<parameter key="transform_to" value="lower case"/>
</operator>
<connect from_port="document" to_op="Transform Cases (2)" to_port="document"/>
<connect from_op="Transform Cases (2)" from_port="document" to_port="document 1"/>
<portSpacing port="source_document" spacing="0"/>
<portSpacing port="sink_document 1" spacing="0"/>
<portSpacing port="sink_document 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="generate_aggregation" compatibility="9.5.001" expanded="true" height="82" name="Generate Aggregation (3)" width="90" x="782" y="289">
<parameter key="attribute_name" value="Häufigkeit der BP über alle Dokumente"/>
<parameter key="attribute_filter_type" value="all"/>
<parameter key="attribute" value="token_number"/>
<parameter key="attributes" value=""/>
<parameter key="use_except_expression" value="false"/>
<parameter key="value_type" value="attribute_value"/>
<parameter key="use_value_type_exception" value="false"/>
<parameter key="except_value_type" value="time"/>
<parameter key="block_type" value="attribute_block"/>
<parameter key="use_block_type_exception" value="false"/>
<parameter key="except_block_type" value="value_matrix_row_start"/>
<parameter key="invert_selection" value="false"/>
<parameter key="include_special_attributes" value="false"/>
<parameter key="aggregation_function" value="sum"/>
<parameter key="concatenation_separator" value="|"/>
<parameter key="keep_all" value="true"/>
<parameter key="ignore_missings" value="true"/>
<parameter key="ignore_missing_attributes" value="false"/>
</operator>
<connect from_op="Retrieve" from_port="output" to_op="Process Documents from Data (3)" to_port="example set"/>
<connect from_op="Process Documents from Data (3)" from_port="word list" to_op="Multiply (2)" to_port="input"/>
<connect from_op="Multiply (2)" from_port="output 1" to_op="Process Documents from Data" to_port="word list"/>
<connect from_op="Retrieve (2)" from_port="output" to_op="Process Documents from Data (2)" to_port="example set"/>
<connect from_op="Process Documents from Data (2)" from_port="example set" to_op="Set Role" to_port="example set input"/>
<connect from_op="Set Role" from_port="example set output" to_op="Multiply" to_port="input"/>
<connect from_op="Multiply" from_port="output 1" to_op="Process Documents from Data" to_port="example set"/>
<connect from_op="Process Documents from Data" from_port="example set" to_op="Generate Aggregation (3)" to_port="example set input"/>
<connect from_op="Generate Aggregation (3)" from_port="example set output" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
</process>
</operator>
</process>
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="9.4.000" expanded="true" name="Process">
<parameter key="logverbosity" value="init"/>
<parameter key="random_seed" value="2001"/>
<parameter key="send_mail" value="never"/>
<parameter key="notification_email" value=""/>
<parameter key="process_duration_for_mail" value="30"/>
<parameter key="encoding" value="SYSTEM"/>
<process expanded="true">
<operator activated="true" class="retrieve" compatibility="9.5.001" expanded="true" height="68" name="Retrieve" width="90" x="45" y="238">
<parameter key="repository_entry" value="../data/Boilerplates/Community_example_4-Gram_list"/>
</operator>
<operator activated="true" class="text:process_document_from_data" compatibility="8.2.000" expanded="true" height="82" name="Process Documents from Data (3)" width="90" x="179" y="238">
<parameter key="create_word_vector" value="true"/>
<parameter key="vector_creation" value="Binary Term Occurrences"/>
<parameter key="add_meta_information" value="true"/>
<parameter key="keep_text" value="false"/>
<parameter key="prune_method" value="none"/>
<parameter key="prune_below_percent" value="3.0"/>
<parameter key="prune_above_percent" value="30.0"/>
<parameter key="prune_below_rank" value="0.05"/>
<parameter key="prune_above_rank" value="0.95"/>
<parameter key="datamanagement" value="double_sparse_array"/>
<parameter key="data_management" value="auto"/>
<parameter key="select_attributes_and_weights" value="false"/>
<list key="specify_weights"/>
<process expanded="true">
<operator activated="true" class="text:transform_cases" compatibility="8.2.000" expanded="true" height="68" name="Transform Cases (5)" width="90" x="514" y="34">
<parameter key="transform_to" value="lower case"/>
</operator>
<connect from_port="document" to_op="Transform Cases (5)" to_port="document"/>
<connect from_op="Transform Cases (5)" from_port="document" to_port="document 1"/>
<portSpacing port="source_document" spacing="0"/>
<portSpacing port="sink_document 1" spacing="0"/>
<portSpacing port="sink_document 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="multiply" compatibility="9.5.001" expanded="true" height="82" name="Multiply (2)" width="90" x="313" y="238"/>
<operator activated="true" class="retrieve" compatibility="9.5.001" expanded="true" height="68" name="Retrieve (2)" width="90" x="45" y="34">
<parameter key="repository_entry" value="../data/Boilerplates/Community_example_texts"/>
</operator>
<operator activated="true" class="text:process_document_from_data" compatibility="8.2.000" expanded="true" height="82" name="Process Documents from Data (2)" width="90" x="179" y="34">
<parameter key="create_word_vector" value="false"/>
<parameter key="vector_creation" value="TF-IDF"/>
<parameter key="add_meta_information" value="true"/>
<parameter key="keep_text" value="true"/>
<parameter key="prune_method" value="none"/>
<parameter key="prune_below_percent" value="3.0"/>
<parameter key="prune_above_percent" value="30.0"/>
<parameter key="prune_below_rank" value="0.05"/>
<parameter key="prune_above_rank" value="0.95"/>
<parameter key="datamanagement" value="double_sparse_array"/>
<parameter key="data_management" value="auto"/>
<parameter key="select_attributes_and_weights" value="false"/>
<list key="specify_weights"/>
<process expanded="true">
<operator activated="true" class="text:tokenize" compatibility="8.2.000" expanded="true" height="68" name="Tokenize" width="90" x="112" y="34">
<parameter key="mode" value="non letters"/>
<parameter key="characters" value=".:"/>
<parameter key="language" value="English"/>
<parameter key="max_token_length" value="3"/>
</operator>
<operator activated="true" class="text:transform_cases" compatibility="8.2.000" expanded="true" height="68" name="Transform Cases (3)" width="90" x="313" y="34">
<parameter key="transform_to" value="lower case"/>
</operator>
<operator activated="true" class="text:generate_n_grams_terms" compatibility="8.2.000" expanded="true" height="68" name="Generate n-Grams (Terms)" width="90" x="514" y="34">
<parameter key="max_length" value="4"/>
</operator>
<operator activated="true" class="text:filter_tokens_by_content" compatibility="8.2.000" expanded="true" height="68" name="Filter Tokens (by Content)" width="90" x="648" y="34">
<parameter key="condition" value="matches"/>
<parameter key="regular_expression" value="^\w+_\w+_\w+_\w+"/>
<parameter key="case_sensitive" value="false"/>
<parameter key="invert condition" value="false"/>
</operator>
<connect from_port="document" to_op="Tokenize" to_port="document"/>
<connect from_op="Tokenize" from_port="document" to_op="Transform Cases (3)" to_port="document"/>
<connect from_op="Transform Cases (3)" from_port="document" to_op="Generate n-Grams (Terms)" to_port="document"/>
<connect from_op="Generate n-Grams (Terms)" from_port="document" to_op="Filter Tokens (by Content)" to_port="document"/>
<connect from_op="Filter Tokens (by Content)" from_port="document" to_port="document 1"/>
<portSpacing port="source_document" spacing="0"/>
<portSpacing port="sink_document 1" spacing="0"/>
<portSpacing port="sink_document 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="set_role" compatibility="9.5.001" expanded="true" height="82" name="Set Role" width="90" x="313" y="34">
<parameter key="attribute_name" value="text"/>
<parameter key="target_role" value="regular"/>
<list key="set_additional_roles">
<parameter key="text" value="regular"/>
</list>
</operator>
<operator activated="true" class="multiply" compatibility="9.5.001" expanded="true" height="82" name="Multiply" width="90" x="313" y="136"/>
<operator activated="true" class="text:process_document_from_data" compatibility="8.1.000" expanded="true" height="82" name="Process Documents from Data" width="90" x="514" y="289">
<parameter key="create_word_vector" value="true"/>
<parameter key="vector_creation" value="Term Occurrences"/>
<parameter key="add_meta_information" value="true"/>
<parameter key="keep_text" value="true"/>
<parameter key="prune_method" value="none"/>
<parameter key="prune_below_percent" value="3.0"/>
<parameter key="prune_above_percent" value="30.0"/>
<parameter key="prune_below_rank" value="0.05"/>
<parameter key="prune_above_rank" value="0.95"/>
<parameter key="datamanagement" value="double_sparse_array"/>
<parameter key="data_management" value="auto"/>
<parameter key="select_attributes_and_weights" value="false"/>
<list key="specify_weights"/>
<process expanded="true">
<operator activated="true" class="text:transform_cases" compatibility="8.2.000" expanded="true" height="68" name="Transform Cases (2)" width="90" x="581" y="34">
<parameter key="transform_to" value="lower case"/>
</operator>
<connect from_port="document" to_op="Transform Cases (2)" to_port="document"/>
<connect from_op="Transform Cases (2)" from_port="document" to_port="document 1"/>
<portSpacing port="source_document" spacing="0"/>
<portSpacing port="sink_document 1" spacing="0"/>
<portSpacing port="sink_document 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="generate_aggregation" compatibility="9.5.001" expanded="true" height="82" name="Generate Aggregation (3)" width="90" x="782" y="289">
<parameter key="attribute_name" value="Häufigkeit der BP über alle Dokumente"/>
<parameter key="attribute_filter_type" value="all"/>
<parameter key="attribute" value="token_number"/>
<parameter key="attributes" value=""/>
<parameter key="use_except_expression" value="false"/>
<parameter key="value_type" value="attribute_value"/>
<parameter key="use_value_type_exception" value="false"/>
<parameter key="except_value_type" value="time"/>
<parameter key="block_type" value="attribute_block"/>
<parameter key="use_block_type_exception" value="false"/>
<parameter key="except_block_type" value="value_matrix_row_start"/>
<parameter key="invert_selection" value="false"/>
<parameter key="include_special_attributes" value="false"/>
<parameter key="aggregation_function" value="sum"/>
<parameter key="concatenation_separator" value="|"/>
<parameter key="keep_all" value="true"/>
<parameter key="ignore_missings" value="true"/>
<parameter key="ignore_missing_attributes" value="false"/>
</operator>
<connect from_op="Retrieve" from_port="output" to_op="Process Documents from Data (3)" to_port="example set"/>
<connect from_op="Process Documents from Data (3)" from_port="word list" to_op="Multiply (2)" to_port="input"/>
<connect from_op="Multiply (2)" from_port="output 1" to_op="Process Documents from Data" to_port="word list"/>
<connect from_op="Retrieve (2)" from_port="output" to_op="Process Documents from Data (2)" to_port="example set"/>
<connect from_op="Process Documents from Data (2)" from_port="example set" to_op="Set Role" to_port="example set input"/>
<connect from_op="Set Role" from_port="example set output" to_op="Multiply" to_port="input"/>
<connect from_op="Multiply" from_port="output 1" to_op="Process Documents from Data" to_port="example set"/>
<connect from_op="Process Documents from Data" from_port="example set" to_op="Generate Aggregation (3)" to_port="example set input"/>
<connect from_op="Generate Aggregation (3)" from_port="example set output" to_port="result 1"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
</process>
</operator>
</process>
1
Best Answer
-
Basically what you did here is apply a full sentence including 4 grams to your final process documents part, not tokens. This is also why your word list has no matches as it is comparing an n-gram to the full sentence.
So what you need to do is tokenize your input again, this time on spaces so your n-grams are tokens again and can be matched with your wordlist. Below gives you what you were aiming for.<?xml version="1.0" encoding="UTF-8"?><process version="9.4.001"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" compatibility="9.4.000" expanded="true" name="Process"> <parameter key="logverbosity" value="init"/> <parameter key="random_seed" value="2001"/> <parameter key="send_mail" value="never"/> <parameter key="notification_email" value=""/> <parameter key="process_duration_for_mail" value="30"/> <parameter key="encoding" value="SYSTEM"/> <process expanded="true"> <operator activated="true" class="retrieve" compatibility="9.4.001" expanded="true" height="68" name="Retrieve Community_example_4-Gram_list" width="90" x="45" y="34"> <parameter key="repository_entry" value="data/Community_example_4-Gram_list"/> </operator> <operator activated="true" class="text:process_document_from_data" compatibility="8.2.000" expanded="true" height="82" name="Process Documents from Data (3)" width="90" x="179" y="34"> <parameter key="create_word_vector" value="true"/> <parameter key="vector_creation" value="Binary Term Occurrences"/> <parameter key="add_meta_information" value="true"/> <parameter key="keep_text" value="false"/> <parameter key="prune_method" value="none"/> <parameter key="prune_below_percent" value="3.0"/> <parameter key="prune_above_percent" value="30.0"/> <parameter key="prune_below_rank" value="0.05"/> <parameter key="prune_above_rank" value="0.95"/> <parameter key="datamanagement" value="double_sparse_array"/> <parameter key="data_management" value="auto"/> <parameter key="select_attributes_and_weights" value="false"/> <list key="specify_weights"/> <process expanded="true"> <operator activated="true" class="text:transform_cases" compatibility="8.2.000" expanded="true" height="68" name="Transform Cases (5)" width="90" x="514" y="34"> <parameter key="transform_to" value="lower case"/> </operator> <connect from_port="document" to_op="Transform Cases (5)" to_port="document"/> <connect from_op="Transform Cases (5)" from_port="document" to_port="document 1"/> <portSpacing port="source_document" spacing="0"/> <portSpacing port="sink_document 1" spacing="0"/> <portSpacing port="sink_document 2" spacing="0"/> </process> </operator> <operator activated="true" class="multiply" compatibility="9.4.001" expanded="true" height="82" name="Multiply (2)" width="90" x="313" y="34"/> <operator activated="true" class="retrieve" compatibility="9.4.001" expanded="true" height="68" name="Retrieve Community_example_texts" width="90" x="45" y="187"> <parameter key="repository_entry" value="data/Community_example_texts"/> </operator> <operator activated="true" class="text:process_document_from_data" compatibility="8.2.000" expanded="true" height="82" name="Process Documents from Data (2)" width="90" x="179" y="187"> <parameter key="create_word_vector" value="false"/> <parameter key="vector_creation" value="TF-IDF"/> <parameter key="add_meta_information" value="true"/> <parameter key="keep_text" value="true"/> <parameter key="prune_method" value="none"/> <parameter key="prune_below_percent" value="3.0"/> <parameter key="prune_above_percent" value="30.0"/> <parameter key="prune_below_rank" value="0.05"/> <parameter key="prune_above_rank" value="0.95"/> <parameter key="datamanagement" value="double_sparse_array"/> <parameter key="data_management" value="auto"/> <parameter key="select_attributes_and_weights" value="false"/> <list key="specify_weights"/> <process expanded="true"> <operator activated="true" class="text:tokenize" compatibility="8.2.000" expanded="true" height="68" name="Tokenize" width="90" x="112" y="34"> <parameter key="mode" value="non letters"/> <parameter key="characters" value=".:"/> <parameter key="language" value="English"/> <parameter key="max_token_length" value="3"/> </operator> <operator activated="true" class="text:transform_cases" compatibility="8.2.000" expanded="true" height="68" name="Transform Cases (3)" width="90" x="313" y="34"> <parameter key="transform_to" value="lower case"/> </operator> <operator activated="true" class="text:generate_n_grams_terms" compatibility="8.2.000" expanded="true" height="68" name="Generate n-Grams (Terms)" width="90" x="447" y="34"> <parameter key="max_length" value="4"/> </operator> <operator activated="true" class="text:filter_tokens_by_content" compatibility="8.2.000" expanded="true" height="68" name="Filter Tokens (by Content)" width="90" x="648" y="34"> <parameter key="condition" value="matches"/> <parameter key="regular_expression" value="^\w+_\w+_\w+_\w+"/> <parameter key="case_sensitive" value="false"/> <parameter key="invert condition" value="false"/> </operator> <connect from_port="document" to_op="Tokenize" to_port="document"/> <connect from_op="Tokenize" from_port="document" to_op="Transform Cases (3)" to_port="document"/> <connect from_op="Transform Cases (3)" from_port="document" to_op="Generate n-Grams (Terms)" to_port="document"/> <connect from_op="Generate n-Grams (Terms)" from_port="document" to_op="Filter Tokens (by Content)" to_port="document"/> <connect from_op="Filter Tokens (by Content)" from_port="document" to_port="document 1"/> <portSpacing port="source_document" spacing="0"/> <portSpacing port="sink_document 1" spacing="0"/> <portSpacing port="sink_document 2" spacing="0"/> </process> </operator> <operator activated="true" class="set_role" compatibility="9.4.001" expanded="true" height="82" name="Set Role" width="90" x="313" y="187"> <parameter key="attribute_name" value="text"/> <parameter key="target_role" value="regular"/> <list key="set_additional_roles"> <parameter key="text" value="regular"/> </list> </operator> <operator activated="true" class="multiply" compatibility="9.4.001" expanded="true" height="82" name="Multiply" width="90" x="447" y="187"/> <operator activated="true" class="text:process_document_from_data" compatibility="8.1.000" expanded="true" height="82" name="Process Documents from Data" width="90" x="514" y="34"> <parameter key="create_word_vector" value="true"/> <parameter key="vector_creation" value="Term Occurrences"/> <parameter key="add_meta_information" value="true"/> <parameter key="keep_text" value="true"/> <parameter key="prune_method" value="none"/> <parameter key="prune_below_percent" value="3.0"/> <parameter key="prune_above_percent" value="30.0"/> <parameter key="prune_below_rank" value="0.05"/> <parameter key="prune_above_rank" value="0.95"/> <parameter key="datamanagement" value="double_sparse_array"/> <parameter key="data_management" value="auto"/> <parameter key="select_attributes_and_weights" value="false"/> <list key="specify_weights"/> <process expanded="true"> <operator activated="true" class="text:tokenize" compatibility="8.2.000" expanded="true" height="68" name="Tokenize (2)" width="90" x="112" y="34"> <parameter key="mode" value="regular expression"/> <parameter key="characters" value=".:"/> <parameter key="expression" value="\s"/> <parameter key="language" value="English"/> <parameter key="max_token_length" value="3"/> </operator> <operator activated="true" class="text:transform_cases" compatibility="8.2.000" expanded="true" height="68" name="Transform Cases (2)" width="90" x="581" y="34"> <parameter key="transform_to" value="lower case"/> </operator> <connect from_port="document" to_op="Tokenize (2)" to_port="document"/> <connect from_op="Tokenize (2)" from_port="document" to_op="Transform Cases (2)" to_port="document"/> <connect from_op="Transform Cases (2)" from_port="document" to_port="document 1"/> <portSpacing port="source_document" spacing="0"/> <portSpacing port="sink_document 1" spacing="0"/> <portSpacing port="sink_document 2" spacing="0"/> </process> </operator> <operator activated="true" class="generate_aggregation" compatibility="9.4.001" expanded="true" height="82" name="Generate Aggregation (3)" width="90" x="648" y="34"> <parameter key="attribute_name" value="Häufigkeit der BP über alle Dokumente"/> <parameter key="attribute_filter_type" value="all"/> <parameter key="attribute" value="token_number"/> <parameter key="attributes" value=""/> <parameter key="use_except_expression" value="false"/> <parameter key="value_type" value="attribute_value"/> <parameter key="use_value_type_exception" value="false"/> <parameter key="except_value_type" value="time"/> <parameter key="block_type" value="attribute_block"/> <parameter key="use_block_type_exception" value="false"/> <parameter key="except_block_type" value="value_matrix_row_start"/> <parameter key="invert_selection" value="false"/> <parameter key="include_special_attributes" value="false"/> <parameter key="aggregation_function" value="sum"/> <parameter key="concatenation_separator" value="|"/> <parameter key="keep_all" value="true"/> <parameter key="ignore_missings" value="true"/> <parameter key="ignore_missing_attributes" value="false"/> </operator> <connect from_op="Retrieve Community_example_4-Gram_list" from_port="output" to_op="Process Documents from Data (3)" to_port="example set"/> <connect from_op="Process Documents from Data (3)" from_port="word list" to_op="Multiply (2)" to_port="input"/> <connect from_op="Multiply (2)" from_port="output 1" to_op="Process Documents from Data" to_port="word list"/> <connect from_op="Retrieve Community_example_texts" from_port="output" to_op="Process Documents from Data (2)" to_port="example set"/> <connect from_op="Process Documents from Data (2)" from_port="example set" to_op="Set Role" to_port="example set input"/> <connect from_op="Set Role" from_port="example set output" to_op="Multiply" to_port="input"/> <connect from_op="Multiply" from_port="output 1" to_op="Process Documents from Data" to_port="example set"/> <connect from_op="Process Documents from Data" from_port="example set" to_op="Generate Aggregation (3)" to_port="example set input"/> <connect from_op="Generate Aggregation (3)" from_port="example set output" to_port="result 1"/> <portSpacing port="source_input 1" spacing="0"/> <portSpacing port="sink_result 1" spacing="0"/> <portSpacing port="sink_result 2" spacing="0"/> </process> </operator> </process>
1
Answers
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Hi @Fload92,
First, I wanted to congratulate you
. In deed, with your first post, you :
- provided your process
- provided all your data
- explained very precisely what is your problem.
So you conscientiously applied the rules of this community : it's rare and it should be emphasized, so congrats !
Now your process : You did not set "Term occurences" in the parameters of Process Documents from Data operator...
You can find the working process in attached file.
Regards,
Lionel1 -
Basically what you did here is apply a full sentence including 4 grams to your final process documents part, not tokens. This is also why your word list has no matches as it is comparing an n-gram to the full sentence.
So what you need to do is tokenize your input again, this time on spaces so your n-grams are tokens again and can be matched with your wordlist. Below gives you what you were aiming for.<?xml version="1.0" encoding="UTF-8"?><process version="9.4.001"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" compatibility="9.4.000" expanded="true" name="Process"> <parameter key="logverbosity" value="init"/> <parameter key="random_seed" value="2001"/> <parameter key="send_mail" value="never"/> <parameter key="notification_email" value=""/> <parameter key="process_duration_for_mail" value="30"/> <parameter key="encoding" value="SYSTEM"/> <process expanded="true"> <operator activated="true" class="retrieve" compatibility="9.4.001" expanded="true" height="68" name="Retrieve Community_example_4-Gram_list" width="90" x="45" y="34"> <parameter key="repository_entry" value="data/Community_example_4-Gram_list"/> </operator> <operator activated="true" class="text:process_document_from_data" compatibility="8.2.000" expanded="true" height="82" name="Process Documents from Data (3)" width="90" x="179" y="34"> <parameter key="create_word_vector" value="true"/> <parameter key="vector_creation" value="Binary Term Occurrences"/> <parameter key="add_meta_information" value="true"/> <parameter key="keep_text" value="false"/> <parameter key="prune_method" value="none"/> <parameter key="prune_below_percent" value="3.0"/> <parameter key="prune_above_percent" value="30.0"/> <parameter key="prune_below_rank" value="0.05"/> <parameter key="prune_above_rank" value="0.95"/> <parameter key="datamanagement" value="double_sparse_array"/> <parameter key="data_management" value="auto"/> <parameter key="select_attributes_and_weights" value="false"/> <list key="specify_weights"/> <process expanded="true"> <operator activated="true" class="text:transform_cases" compatibility="8.2.000" expanded="true" height="68" name="Transform Cases (5)" width="90" x="514" y="34"> <parameter key="transform_to" value="lower case"/> </operator> <connect from_port="document" to_op="Transform Cases (5)" to_port="document"/> <connect from_op="Transform Cases (5)" from_port="document" to_port="document 1"/> <portSpacing port="source_document" spacing="0"/> <portSpacing port="sink_document 1" spacing="0"/> <portSpacing port="sink_document 2" spacing="0"/> </process> </operator> <operator activated="true" class="multiply" compatibility="9.4.001" expanded="true" height="82" name="Multiply (2)" width="90" x="313" y="34"/> <operator activated="true" class="retrieve" compatibility="9.4.001" expanded="true" height="68" name="Retrieve Community_example_texts" width="90" x="45" y="187"> <parameter key="repository_entry" value="data/Community_example_texts"/> </operator> <operator activated="true" class="text:process_document_from_data" compatibility="8.2.000" expanded="true" height="82" name="Process Documents from Data (2)" width="90" x="179" y="187"> <parameter key="create_word_vector" value="false"/> <parameter key="vector_creation" value="TF-IDF"/> <parameter key="add_meta_information" value="true"/> <parameter key="keep_text" value="true"/> <parameter key="prune_method" value="none"/> <parameter key="prune_below_percent" value="3.0"/> <parameter key="prune_above_percent" value="30.0"/> <parameter key="prune_below_rank" value="0.05"/> <parameter key="prune_above_rank" value="0.95"/> <parameter key="datamanagement" value="double_sparse_array"/> <parameter key="data_management" value="auto"/> <parameter key="select_attributes_and_weights" value="false"/> <list key="specify_weights"/> <process expanded="true"> <operator activated="true" class="text:tokenize" compatibility="8.2.000" expanded="true" height="68" name="Tokenize" width="90" x="112" y="34"> <parameter key="mode" value="non letters"/> <parameter key="characters" value=".:"/> <parameter key="language" value="English"/> <parameter key="max_token_length" value="3"/> </operator> <operator activated="true" class="text:transform_cases" compatibility="8.2.000" expanded="true" height="68" name="Transform Cases (3)" width="90" x="313" y="34"> <parameter key="transform_to" value="lower case"/> </operator> <operator activated="true" class="text:generate_n_grams_terms" compatibility="8.2.000" expanded="true" height="68" name="Generate n-Grams (Terms)" width="90" x="447" y="34"> <parameter key="max_length" value="4"/> </operator> <operator activated="true" class="text:filter_tokens_by_content" compatibility="8.2.000" expanded="true" height="68" name="Filter Tokens (by Content)" width="90" x="648" y="34"> <parameter key="condition" value="matches"/> <parameter key="regular_expression" value="^\w+_\w+_\w+_\w+"/> <parameter key="case_sensitive" value="false"/> <parameter key="invert condition" value="false"/> </operator> <connect from_port="document" to_op="Tokenize" to_port="document"/> <connect from_op="Tokenize" from_port="document" to_op="Transform Cases (3)" to_port="document"/> <connect from_op="Transform Cases (3)" from_port="document" to_op="Generate n-Grams (Terms)" to_port="document"/> <connect from_op="Generate n-Grams (Terms)" from_port="document" to_op="Filter Tokens (by Content)" to_port="document"/> <connect from_op="Filter Tokens (by Content)" from_port="document" to_port="document 1"/> <portSpacing port="source_document" spacing="0"/> <portSpacing port="sink_document 1" spacing="0"/> <portSpacing port="sink_document 2" spacing="0"/> </process> </operator> <operator activated="true" class="set_role" compatibility="9.4.001" expanded="true" height="82" name="Set Role" width="90" x="313" y="187"> <parameter key="attribute_name" value="text"/> <parameter key="target_role" value="regular"/> <list key="set_additional_roles"> <parameter key="text" value="regular"/> </list> </operator> <operator activated="true" class="multiply" compatibility="9.4.001" expanded="true" height="82" name="Multiply" width="90" x="447" y="187"/> <operator activated="true" class="text:process_document_from_data" compatibility="8.1.000" expanded="true" height="82" name="Process Documents from Data" width="90" x="514" y="34"> <parameter key="create_word_vector" value="true"/> <parameter key="vector_creation" value="Term Occurrences"/> <parameter key="add_meta_information" value="true"/> <parameter key="keep_text" value="true"/> <parameter key="prune_method" value="none"/> <parameter key="prune_below_percent" value="3.0"/> <parameter key="prune_above_percent" value="30.0"/> <parameter key="prune_below_rank" value="0.05"/> <parameter key="prune_above_rank" value="0.95"/> <parameter key="datamanagement" value="double_sparse_array"/> <parameter key="data_management" value="auto"/> <parameter key="select_attributes_and_weights" value="false"/> <list key="specify_weights"/> <process expanded="true"> <operator activated="true" class="text:tokenize" compatibility="8.2.000" expanded="true" height="68" name="Tokenize (2)" width="90" x="112" y="34"> <parameter key="mode" value="regular expression"/> <parameter key="characters" value=".:"/> <parameter key="expression" value="\s"/> <parameter key="language" value="English"/> <parameter key="max_token_length" value="3"/> </operator> <operator activated="true" class="text:transform_cases" compatibility="8.2.000" expanded="true" height="68" name="Transform Cases (2)" width="90" x="581" y="34"> <parameter key="transform_to" value="lower case"/> </operator> <connect from_port="document" to_op="Tokenize (2)" to_port="document"/> <connect from_op="Tokenize (2)" from_port="document" to_op="Transform Cases (2)" to_port="document"/> <connect from_op="Transform Cases (2)" from_port="document" to_port="document 1"/> <portSpacing port="source_document" spacing="0"/> <portSpacing port="sink_document 1" spacing="0"/> <portSpacing port="sink_document 2" spacing="0"/> </process> </operator> <operator activated="true" class="generate_aggregation" compatibility="9.4.001" expanded="true" height="82" name="Generate Aggregation (3)" width="90" x="648" y="34"> <parameter key="attribute_name" value="Häufigkeit der BP über alle Dokumente"/> <parameter key="attribute_filter_type" value="all"/> <parameter key="attribute" value="token_number"/> <parameter key="attributes" value=""/> <parameter key="use_except_expression" value="false"/> <parameter key="value_type" value="attribute_value"/> <parameter key="use_value_type_exception" value="false"/> <parameter key="except_value_type" value="time"/> <parameter key="block_type" value="attribute_block"/> <parameter key="use_block_type_exception" value="false"/> <parameter key="except_block_type" value="value_matrix_row_start"/> <parameter key="invert_selection" value="false"/> <parameter key="include_special_attributes" value="false"/> <parameter key="aggregation_function" value="sum"/> <parameter key="concatenation_separator" value="|"/> <parameter key="keep_all" value="true"/> <parameter key="ignore_missings" value="true"/> <parameter key="ignore_missing_attributes" value="false"/> </operator> <connect from_op="Retrieve Community_example_4-Gram_list" from_port="output" to_op="Process Documents from Data (3)" to_port="example set"/> <connect from_op="Process Documents from Data (3)" from_port="word list" to_op="Multiply (2)" to_port="input"/> <connect from_op="Multiply (2)" from_port="output 1" to_op="Process Documents from Data" to_port="word list"/> <connect from_op="Retrieve Community_example_texts" from_port="output" to_op="Process Documents from Data (2)" to_port="example set"/> <connect from_op="Process Documents from Data (2)" from_port="example set" to_op="Set Role" to_port="example set input"/> <connect from_op="Set Role" from_port="example set output" to_op="Multiply" to_port="input"/> <connect from_op="Multiply" from_port="output 1" to_op="Process Documents from Data" to_port="example set"/> <connect from_op="Process Documents from Data" from_port="example set" to_op="Generate Aggregation (3)" to_port="example set input"/> <connect from_op="Generate Aggregation (3)" from_port="example set output" to_port="result 1"/> <portSpacing port="source_input 1" spacing="0"/> <portSpacing port="sink_result 1" spacing="0"/> <portSpacing port="sink_result 2" spacing="0"/> </process> </operator> </process>
1
