Sentiments Analysis using external Dictionary
DDresen
New Altair Community Member
Hey there,
I just started using RapidMiner using an external dictionary (BAWL).
I've built a (at least in my eyes) proper process but as it seems, its not. Like I've said I'm really new into this and I really dont know whats wrong about it (really looking forward to every hint/explanation!). When I try to run the process everything seems to work but after a few seconds it prompts that the the process has failed.
Anyways, thanks in advance!
Danilo
Anyways, thanks in advance!
Danilo
0
Answers
-
Hi @DDresen ,please check out the attached process not using process documents. That should do it?Best,MartinSpoiler<?xml version="1.0" encoding="UTF-8"?><process version="9.6.000">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="9.6.000" 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="subprocess" compatibility="9.6.000" expanded="true" height="82" name="Subprocess" width="90" x="45" y="391">
<process expanded="true">
<operator activated="true" class="read_excel" compatibility="9.6.000" expanded="true" height="68" name="Read Excel" width="90" x="45" y="34">
<parameter key="excel_file" value="/Users/danilodresen/Documents/TH_Koeln/Bachelorarbeit/RapidMiner/Dictionaries/Bawl_reduziert.xls"/>
<parameter key="sheet_selection" value="sheet number"/>
<parameter key="sheet_number" value="1"/>
<parameter key="imported_cell_range" value="B1:D10485776"/>
<parameter key="encoding" value="SYSTEM"/>
<parameter key="first_row_as_names" value="true"/>
<list key="annotations"/>
<parameter key="date_format" value=""/>
<parameter key="time_zone" value="SYSTEM"/>
<parameter key="locale" value="English (United States)"/>
<parameter key="read_all_values_as_polynominal" value="false"/>
<list key="data_set_meta_data_information">
<parameter key="0" value="WORD_LOWER.true.polynominal.attribute"/>
<parameter key="1" value="WORD_CLASS.true.polynominal.attribute"/>
<parameter key="2" value="EMO_MEAN.true.real.attribute"/>
</list>
<parameter key="read_not_matching_values_as_missings" value="false"/>
<parameter key="datamanagement" value="double_array"/>
<parameter key="data_management" value="auto"/>
</operator>
<operator activated="true" class="set_role" compatibility="9.6.000" expanded="true" height="82" name="Set Role" width="90" x="179" y="34">
<parameter key="attribute_name" value="WORD_LOWER"/>
<parameter key="target_role" value="regular"/>
<list key="set_additional_roles"/>
</operator>
<operator activated="true" class="text_to_nominal" compatibility="9.6.000" expanded="true" height="82" name="Text to Nominal" width="90" x="313" y="34">
<parameter key="attribute_filter_type" value="all"/>
<parameter key="attribute" value=""/>
<parameter key="attributes" value=""/>
<parameter key="use_except_expression" value="false"/>
<parameter key="value_type" value="text"/>
<parameter key="use_value_type_exception" value="false"/>
<parameter key="except_value_type" value="text"/>
<parameter key="block_type" value="value_matrix"/>
<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"/>
</operator>
<connect from_op="Read Excel" from_port="output" to_op="Set Role" to_port="example set input"/>
<connect from_op="Set Role" from_port="example set output" to_op="Text to Nominal" to_port="example set input"/>
<connect from_op="Text to Nominal" from_port="example set output" to_port="out 1"/>
<portSpacing port="source_in 1" spacing="0"/>
<portSpacing port="sink_out 1" spacing="0"/>
<portSpacing port="sink_out 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="operator_toolbox:dictionary_sentiment_learner" compatibility="2.5.000-SNAPSHOT" expanded="true" height="82" name="Dictionary-Based Sentiment (Documents)" width="90" x="179" y="391">
<parameter key="value_attribute" value="EMO_MEAN"/>
<parameter key="key_attribute" value="WORD_LOWER"/>
<parameter key="negation_attribute" value=""/>
<parameter key="negation_window_size" value="1"/>
<parameter key="use_symmetric_negation_window" value="false"/>
</operator>
<operator activated="true" class="subprocess" compatibility="9.6.000" expanded="true" height="82" name="Subprocess (2)" width="90" x="45" y="85">
<process expanded="true">
<operator activated="true" class="text:read_document" compatibility="9.3.001" expanded="true" height="68" name="Read deutsch QS" width="90" x="45" y="34">
<parameter key="file" value="/Users/danilodresen/Documents/TH_Koeln/Bachelorarbeit/RapidMiner/JSON/deutsch_QS.json"/>
<parameter key="extract_text_only" value="true"/>
<parameter key="use_file_extension_as_type" value="true"/>
<parameter key="content_type" value="txt"/>
<parameter key="encoding" value="SYSTEM"/>
</operator>
<operator activated="true" class="text:read_document" compatibility="9.3.001" expanded="true" height="68" name="Read franz QS" width="90" x="45" y="136">
<parameter key="file" value="/Users/danilodresen/Documents/TH_Koeln/Bachelorarbeit/RapidMiner/JSON/fanz_qs.json"/>
<parameter key="extract_text_only" value="true"/>
<parameter key="use_file_extension_as_type" value="true"/>
<parameter key="content_type" value="txt"/>
<parameter key="encoding" value="SYSTEM"/>
</operator>
<operator activated="true" class="text:json_to_data" compatibility="9.3.001" expanded="true" height="103" name="JSON To Data" width="90" x="179" y="34">
<parameter key="ignore_arrays" value="false"/>
<parameter key="limit_attributes" value="false"/>
<parameter key="skip_invalid_documents" value="false"/>
<parameter key="guess_data_types" value="true"/>
<parameter key="keep_missing_attributes" value="false"/>
<parameter key="missing_values_aliases" value=", null, NaN, missing"/>
</operator>
<operator activated="true" class="text:data_to_documents" compatibility="9.3.001" expanded="true" height="68" name="Data to Documents" width="90" x="313" y="34">
<parameter key="select_attributes_and_weights" value="false"/>
<list key="specify_weights"/>
</operator>
<connect from_op="Read deutsch QS" from_port="output" to_op="JSON To Data" to_port="documents 1"/>
<connect from_op="Read franz QS" from_port="output" to_op="JSON To Data" to_port="documents 2"/>
<connect from_op="JSON To Data" from_port="example set" to_op="Data to Documents" to_port="example set"/>
<connect from_op="Data to Documents" from_port="documents" to_port="out 1"/>
<portSpacing port="source_in 1" spacing="0"/>
<portSpacing port="sink_out 1" spacing="0"/>
<portSpacing port="sink_out 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="loop_collection" compatibility="9.6.000" expanded="true" height="82" name="Loop Collection" width="90" x="179" y="85">
<parameter key="set_iteration_macro" value="false"/>
<parameter key="macro_name" value="iteration"/>
<parameter key="macro_start_value" value="1"/>
<parameter key="unfold" value="false"/>
<process expanded="true">
<operator activated="true" class="text:transform_cases" compatibility="9.3.001" expanded="true" height="68" name="Transform Cases" width="90" x="112" y="34">
<parameter key="transform_to" value="lower case"/>
</operator>
<operator activated="true" class="text:tokenize" compatibility="9.3.001" expanded="true" height="68" name="Tokenize" width="90" x="246" 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:filter_stopwords_german" compatibility="9.3.001" expanded="true" height="68" name="Filter Stopwords (German)" width="90" x="380" y="34">
<parameter key="stop_word_list" value="Standard"/>
</operator>
<operator activated="true" class="text:stem_german" compatibility="9.3.001" expanded="true" height="68" name="Stem (German)" width="90" x="514" y="34"/>
<connect from_port="single" to_op="Transform Cases" to_port="document"/>
<connect from_op="Transform Cases" from_port="document" to_op="Tokenize" to_port="document"/>
<connect from_op="Tokenize" from_port="document" to_op="Filter Stopwords (German)" to_port="document"/>
<connect from_op="Filter Stopwords (German)" from_port="document" to_op="Stem (German)" to_port="document"/>
<connect from_op="Stem (German)" from_port="document" to_port="output 1"/>
<portSpacing port="source_single" spacing="0"/>
<portSpacing port="sink_output 1" spacing="0"/>
<portSpacing port="sink_output 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="operator_toolbox:apply_model_documents" compatibility="2.5.000-SNAPSHOT" expanded="true" height="103" name="Apply Model (Documents)" width="90" x="514" y="238">
<list key="application_parameters"/>
</operator>
<connect from_op="Subprocess" from_port="out 1" to_op="Dictionary-Based Sentiment (Documents)" to_port="exa"/>
<connect from_op="Dictionary-Based Sentiment (Documents)" from_port="mod" to_op="Apply Model (Documents)" to_port="mod"/>
<connect from_op="Subprocess (2)" from_port="out 1" to_op="Loop Collection" to_port="collection"/>
<connect from_op="Loop Collection" from_port="output 1" to_op="Apply Model (Documents)" to_port="doc"/>
<connect from_op="Apply Model (Documents)" from_port="exa" to_port="result 1"/>
<connect from_op="Apply Model (Documents)" from_port="doc" to_port="result 3"/>
<connect from_op="Apply Model (Documents)" from_port="mod" to_port="result 2"/>
<portSpacing port="source_input 1" spacing="0"/>
<portSpacing port="sink_result 1" spacing="0"/>
<portSpacing port="sink_result 2" spacing="0"/>
<portSpacing port="sink_result 3" spacing="0"/>
<portSpacing port="sink_result 4" spacing="0"/>
</process>
</operator>
</process>
2 -
Hi @mschmitz,
thanks for the quick response! I'm sure you've improved my process but now it says that the model I'm trying to apply needs to work on tokenized documents. I dont get it, as far as I'm concerned I'm using the tokenize operator. Do you have any clue?Thank you,Danilo0 -
Hi @DDresen ,this sounds odd, can you share the excel files so i can have a look? I am available at mschmitz at rapidminer.com.Grüße aus Dortmund,Martin0
Altair Employee