"Using the Cross Distances Operator with Text Attributes"
evansh
New Altair Community Member
I'm trying to calculate the Cosine Similarity for a request set of documents against a larger reference set; however the Cross Distances operator will only return either a 0 or a 1. If I try and use process documents to create a word vector to feed it, it simply doesn't work. I assume the latter issue is because the word vectors are obviously made up of different attributes between the request and reference sets. I've been stuck on this for a while, so I'd really appreciate some help.
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="true" class="retrieve" compatibility="6.5.002" expanded="true" height="60" name="Retrieve Scraped DB Files" width="90" x="45" y="390">
<parameter key="repository_entry" value="//Local Repository/processes/SSR/Novelty Mining/Scraped DB Files"/>
</operator>
</process>
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="true" class="nominal_to_text" compatibility="6.5.002" expanded="true" height="76" name="Nominal to Text" width="90" x="179" y="390">
<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="nominal"/>
<parameter key="use_value_type_exception" value="false"/>
<parameter key="except_value_type" value="file_path"/>
<parameter key="block_type" value="single_value"/>
<parameter key="use_block_type_exception" value="false"/>
<parameter key="except_block_type" value="single_value"/>
<parameter key="invert_selection" value="false"/>
<parameter key="include_special_attributes" value="true"/>
</operator>
</process>
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="false" class="text:data_to_documents" compatibility="6.5.000" expanded="true" height="60" name="Data to Documents (3)" width="90" x="313" y="615">
<parameter key="select_attributes_and_weights" value="true"/>
<list key="specify_weights">
<parameter key="Description" value="1.0"/>
<parameter key="Indication" value="1.0"/>
<parameter key="Mechanism Of Action" value="1.0"/>
<parameter key="Name" value="1.0"/>
<parameter key="Pharmacodynamics" value="1.0"/>
</list>
</operator>
</process>
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="false" class="text:process_documents" compatibility="6.5.000" expanded="true" height="94" name="Process Documents (3)" width="90" x="447" y="615">
<parameter key="create_word_vector" value="true"/>
<parameter key="vector_creation" value="TF-IDF"/>
<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"/>
<process expanded="true">
<operator activated="true" class="text:tokenize" compatibility="6.5.000" expanded="true" height="60" name="Tokenize (3)" width="90" x="179" y="75">
<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_english" compatibility="6.5.000" expanded="true" height="60" name="Filter Stopwords (3)" width="90" x="179" y="165"/>
<operator activated="true" class="text:transform_cases" compatibility="6.5.000" expanded="true" height="60" name="Transform Cases (3)" width="90" x="179" y="255">
<parameter key="transform_to" value="lower case"/>
</operator>
<operator activated="true" class="text:stem_snowball" compatibility="6.5.000" expanded="true" height="60" name="Stem (3)" width="90" x="313" y="75">
<parameter key="language" value="English"/>
</operator>
<operator activated="false" class="text:generate_n_grams_terms" compatibility="6.5.000" expanded="true" height="60" name="Generate n-Grams (3)" width="90" x="313" y="165">
<parameter key="max_length" value="2"/>
</operator>
<connect from_port="document" to_op="Tokenize (3)" to_port="document"/>
<connect from_op="Tokenize (3)" from_port="document" to_op="Filter Stopwords (3)" to_port="document"/>
<connect from_op="Filter Stopwords (3)" from_port="document" to_op="Transform Cases (3)" to_port="document"/>
<connect from_op="Transform Cases (3)" from_port="document" to_op="Stem (3)" to_port="document"/>
<connect from_op="Stem (3)" 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>
</process>
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="false" class="text:data_to_documents" compatibility="6.5.000" expanded="true" height="60" name="Data to Documents (2)" width="90" x="313" y="480">
<parameter key="select_attributes_and_weights" value="true"/>
<list key="specify_weights">
<parameter key="Content" value="1.0"/>
<parameter key="Title" value="1.0"/>
</list>
</operator>
</process>
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="false" class="text:process_documents" compatibility="6.5.000" expanded="true" height="94" name="Process Documents (2)" width="90" x="447" y="435">
<parameter key="create_word_vector" value="true"/>
<parameter key="vector_creation" value="TF-IDF"/>
<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"/>
<process expanded="true">
<operator activated="true" class="text:tokenize" compatibility="6.5.000" expanded="true" height="60" name="Tokenize (2)" width="90" x="179" y="75">
<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_english" compatibility="6.5.000" expanded="true" height="60" name="Filter Stopwords (2)" width="90" x="179" y="165"/>
<operator activated="true" class="text:transform_cases" compatibility="6.5.000" expanded="true" height="60" name="Transform Cases (2)" width="90" x="179" y="255">
<parameter key="transform_to" value="lower case"/>
</operator>
<operator activated="true" class="text:stem_snowball" compatibility="6.5.000" expanded="true" height="60" name="Stem (2)" width="90" x="313" y="75">
<parameter key="language" value="English"/>
</operator>
<operator activated="false" class="text:generate_n_grams_terms" compatibility="6.5.000" expanded="true" height="60" name="Generate n-Grams (2)" width="90" x="313" y="165">
<parameter key="max_length" value="2"/>
</operator>
<connect from_port="document" to_op="Tokenize (2)" to_port="document"/>
<connect from_op="Tokenize (2)" from_port="document" to_op="Filter Stopwords (2)" to_port="document"/>
<connect from_op="Filter Stopwords (2)" from_port="document" to_op="Transform Cases (2)" to_port="document"/>
<connect from_op="Transform Cases (2)" from_port="document" to_op="Stem (2)" to_port="document"/>
<connect from_op="Stem (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>
</process>
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="false" class="select_attributes" compatibility="6.5.002" expanded="true" height="76" name="Select Attributes" width="90" x="581" y="435">
<parameter key="attribute_filter_type" value="subset"/>
<parameter key="attribute" value=""/>
<parameter key="attributes" value="Author|Link|Categories|Published|ID"/>
<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="true"/>
<parameter key="include_special_attributes" value="true"/>
</operator>
</process>
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="false" class="select_attributes" compatibility="6.5.002" expanded="true" height="76" name="Select Attributes (2)" width="90" x="581" y="615">
<parameter key="attribute_filter_type" value="subset"/>
<parameter key="attribute" value=""/>
<parameter key="attributes" value="metadata_file|Category"/>
<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="true"/>
<parameter key="include_special_attributes" value="true"/>
</operator>
</process>
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="true" class="retrieve" compatibility="6.5.002" expanded="true" height="60" name="Retrieve Pubmed RSS Data" width="90" x="45" y="255">
<parameter key="repository_entry" value="../Pubmed RSS Data"/>
</operator>
</process>
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="true" class="select_attributes" compatibility="6.5.002" expanded="true" height="76" name="Select Attributes (3)" width="90" x="179" y="255">
<parameter key="attribute_filter_type" value="subset"/>
<parameter key="attribute" value=""/>
<parameter key="attributes" value="Source Text"/>
<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="true"/>
</operator>
</process>
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="true" class="generate_attributes" compatibility="6.5.002" expanded="true" height="76" name="Generate Attributes" width="90" x="313" y="345">
<list key="function_descriptions">
<parameter key="Source Text" value="concat(Description,Indication,[Mechanism Of Action],Pharmacodynamics)"/>
</list>
<parameter key="keep_all" value="false"/>
</operator>
</process>
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="true" class="select_attributes" compatibility="6.5.002" expanded="true" height="76" name="Select Attributes (4)" width="90" x="447" y="345">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="Source Text"/>
<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="true"/>
</operator>
</process>
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="true" class="filter_examples" compatibility="6.5.002" expanded="true" height="94" name="Filter Examples" width="90" x="447" y="210">
<parameter key="parameter_expression" value=""/>
<parameter key="condition_class" value="missing_labels"/>
<parameter key="invert_filter" value="false"/>
<list key="filters_list">
<parameter key="filters_entry_key" value="Source Text.equals.?"/>
</list>
<parameter key="filters_logic_and" value="true"/>
<parameter key="filters_check_metadata" value="true"/>
</operator>
</process>
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="true" class="cross_distances" compatibility="6.5.002" expanded="true" height="94" name="Cross Distances" width="90" x="380" y="30">
<parameter key="measure_types" value="NumericalMeasures"/>
<parameter key="mixed_measure" value="MixedEuclideanDistance"/>
<parameter key="nominal_measure" value="NominalDistance"/>
<parameter key="numerical_measure" value="CosineSimilarity"/>
<parameter key="divergence" value="GeneralizedIDivergence"/>
<parameter key="kernel_type" value="radial"/>
<parameter key="kernel_gamma" value="1.0"/>
<parameter key="kernel_sigma1" value="1.0"/>
<parameter key="kernel_sigma2" value="0.0"/>
<parameter key="kernel_sigma3" value="2.0"/>
<parameter key="kernel_degree" value="3.0"/>
<parameter key="kernel_shift" value="1.0"/>
<parameter key="kernel_a" value="1.0"/>
<parameter key="kernel_b" value="0.0"/>
<parameter key="only_top_k" value="false"/>
<parameter key="k" value="10"/>
<parameter key="search_for" value="nearest"/>
<parameter key="compute_similarities" value="true"/>
</operator>
</process>
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
<operator activated="true" class="aggregate" compatibility="6.5.002" expanded="true" height="76" name="Aggregate" width="90" x="514" y="30">
<parameter key="use_default_aggregation" value="true"/>
<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="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="default_aggregation_function" value="average"/>
<list key="aggregation_attributes">
<parameter key="distance" value="maximum"/>
</list>
<parameter key="group_by_attributes" value="request"/>
<parameter key="count_all_combinations" value="false"/>
<parameter key="only_distinct" value="false"/>
<parameter key="ignore_missings" value="true"/>
</operator>
</process>
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0
Answers
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??? can rapidminer do cosine similarity? I have been experimenting on a 2-instances testing set with R. it was alright but I need to do it for a couple of hundred thousands- multiple instances (tweets) against my predefined queries(built dictionary). Converting them into vector types and calculating the angles.0
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of course. It is part of Cross distance.0
Altair Employee