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"Sentiment Analysis Problem"

pelstonpelston Member Posts: 3 Contributor I
edited June 2019 in Help
Hello,

I'm trying to run a sentiment analysis using linear svm. I'm reading my data from a sql server. However on the apply model (2) in the xml below I receive the below error each time. Would you have an idea why this is occurring ?

the input example set does not match the training example set. missing attribute aaaa

Paul


<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.005">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.3.005" expanded="true" name="Process">
    <process expanded="true">
      <operator activated="true" class="read_database" compatibility="5.3.005" expanded="true" height="60" name="Read Database" width="90" x="45" y="30">
        <parameter key="connection" value="sqlserver"/>
        <parameter key="query" value="SELECT top 1000000 ID, Feed, Sentiment&#10;FROM Twitter_Training_Data&#10;WHERE Sentiment = 'Positive'&#10;UNION ALL&#10;SELECT top 1000000 ID, Feed, Sentiment&#10;FROM Twitter_Training_Data&#10;WHERE Sentiment = 'Negative'"/>
        <parameter key="table_name" value="Sample_Feeds"/>
        <enumeration key="parameters"/>
      </operator>
      <operator activated="true" class="set_role" compatibility="5.3.005" expanded="true" height="76" name="Set Role (3)" width="90" x="179" y="30">
        <parameter key="name" value="ID"/>
        <parameter key="target_role" value="id"/>
        <list key="set_additional_roles"/>
      </operator>
      <operator activated="true" class="text:process_document_from_data" compatibility="5.3.000" expanded="true" height="76" name="Process Documents from Data" width="90" x="313" y="30">
        <parameter key="keep_text" value="true"/>
        <parameter key="prune_above_percent" value="90.0"/>
        <list key="specify_weights"/>
        <process expanded="true">
          <operator activated="true" class="text:tokenize" compatibility="5.3.000" expanded="true" height="60" name="Tokenize" width="90" x="45" y="30"/>
          <operator activated="true" class="text:transform_cases" compatibility="5.3.000" expanded="true" height="60" name="Transform Cases" width="90" x="179" y="30"/>
          <operator activated="true" class="text:filter_stopwords_english" compatibility="5.3.000" expanded="true" height="60" name="Filter Stopwords (English)" width="90" x="313" y="30"/>
          <operator activated="true" class="text:filter_by_length" compatibility="5.3.000" expanded="true" height="60" name="Filter Tokens (by Length)" width="90" x="447" y="30">
            <parameter key="min_chars" value="3"/>
            <parameter key="max_chars" value="999"/>
          </operator>
          <connect from_port="document" to_op="Tokenize" to_port="document"/>
          <connect from_op="Tokenize" from_port="document" to_op="Transform Cases" to_port="document"/>
          <connect from_op="Transform Cases" from_port="document" to_op="Filter Stopwords (English)" to_port="document"/>
          <connect from_op="Filter Stopwords (English)" from_port="document" to_op="Filter Tokens (by Length)" to_port="document"/>
          <connect from_op="Filter Tokens (by Length)" 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="5.3.005" expanded="true" height="76" name="Set Role" width="90" x="447" y="30">
        <parameter key="name" value="Sentiment"/>
        <parameter key="target_role" value="label"/>
        <list key="set_additional_roles"/>
      </operator>
      <operator activated="true" class="x_validation" compatibility="5.3.005" expanded="true" height="112" name="Validation" width="90" x="581" y="30">
        <parameter key="number_of_validations" value="5"/>
        <process expanded="true">
          <operator activated="true" class="select_attributes" compatibility="5.3.005" expanded="true" height="76" name="Select Attributes" width="90" x="45" y="30">
            <parameter key="attribute_filter_type" value="no_missing_values"/>
            <parameter key="attribute" value="text"/>
          </operator>
          <operator activated="true" class="nominal_to_binominal" compatibility="5.3.005" expanded="true" height="94" name="Nominal to Binominal" width="90" x="179" y="30">
            <parameter key="attribute_filter_type" value="single"/>
            <parameter key="attribute" value="Sentiment"/>
            <parameter key="include_special_attributes" value="true"/>
          </operator>
          <operator activated="true" class="support_vector_machine_linear" compatibility="5.3.005" expanded="true" height="76" name="SVM (Linear)" width="90" x="179" y="210"/>
          <connect from_port="training" to_op="Select Attributes" to_port="example set input"/>
          <connect from_op="Select Attributes" from_port="example set output" to_op="Nominal to Binominal" to_port="example set input"/>
          <connect from_op="Nominal to Binominal" from_port="example set output" to_op="SVM (Linear)" to_port="training set"/>
          <connect from_op="SVM (Linear)" from_port="model" to_port="model"/>
          <portSpacing port="source_training" spacing="0"/>
          <portSpacing port="sink_model" spacing="0"/>
          <portSpacing port="sink_through 1" spacing="0"/>
        </process>
        <process expanded="true">
          <operator activated="true" class="apply_model" compatibility="5.3.005" expanded="true" height="76" name="Apply Model" width="90" x="45" y="75">
            <list key="application_parameters"/>
          </operator>
          <operator activated="true" class="performance" compatibility="5.3.005" expanded="true" height="76" name="Performance" width="90" x="179" y="120"/>
          <connect from_port="model" to_op="Apply Model" to_port="model"/>
          <connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/>
          <connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
          <connect from_op="Performance" from_port="performance" to_port="averagable 1"/>
          <portSpacing port="source_model" spacing="0"/>
          <portSpacing port="source_test set" spacing="0"/>
          <portSpacing port="source_through 1" spacing="0"/>
          <portSpacing port="sink_averagable 1" spacing="0"/>
          <portSpacing port="sink_averagable 2" spacing="0"/>
        </process>
      </operator>
      <operator activated="false" class="read_excel" compatibility="5.3.005" expanded="true" height="60" name="Read Excel" width="90" x="45" y="255">
        <parameter key="excel_file" value="C:\Users\dingopole\Desktop\Twitter_Data.xlsx"/>
        <list key="annotations"/>
        <list key="data_set_meta_data_information"/>
      </operator>
      <operator activated="false" class="nominal_to_text" compatibility="5.3.005" expanded="true" height="76" name="Nominal to Text" width="90" x="179" y="255"/>
      <operator activated="true" class="read_database" compatibility="5.3.005" expanded="true" height="60" name="Read Database (2)" width="90" x="45" y="120">
        <parameter key="connection" value="sqlserver"/>
        <parameter key="query" value="SELECT top 100 id, feed as feed&#10;FROM &quot;dbo&quot;.&quot;Twitter_Test_Data&quot;"/>
        <enumeration key="parameters"/>
      </operator>
      <operator activated="true" class="set_role" compatibility="5.3.005" expanded="true" height="76" name="Set Role (4)" width="90" x="179" y="120">
        <parameter key="name" value="id"/>
        <parameter key="target_role" value="id"/>
        <list key="set_additional_roles"/>
      </operator>
      <operator activated="true" class="text:process_document_from_data" compatibility="5.3.000" expanded="true" height="76" name="Process Documents from Data (2)" width="90" x="313" y="120">
        <parameter key="keep_text" value="true"/>
        <parameter key="prune_above_percent" value="90.0"/>
        <list key="specify_weights"/>
        <process expanded="true">
          <operator activated="true" class="text:tokenize" compatibility="5.3.000" expanded="true" height="60" name="Tokenize (2)" width="90" x="112" y="30"/>
          <operator activated="true" class="text:transform_cases" compatibility="5.3.000" expanded="true" height="60" name="Transform Cases (2)" width="90" x="246" y="30"/>
          <operator activated="true" class="text:filter_stopwords_english" compatibility="5.3.000" expanded="true" height="60" name="Filter Stopwords (2)" width="90" x="380" y="30"/>
          <operator activated="true" class="text:filter_by_length" compatibility="5.3.000" expanded="true" height="60" name="Filter Tokens (2)" width="90" x="514" y="30">
            <parameter key="min_chars" value="3"/>
            <parameter key="max_chars" value="999"/>
          </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_op="Filter Stopwords (2)" to_port="document"/>
          <connect from_op="Filter Stopwords (2)" from_port="document" to_op="Filter Tokens (2)" to_port="document"/>
          <connect from_op="Filter Tokens (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="set_role" compatibility="5.3.005" expanded="true" height="76" name="Set Role (2)" width="90" x="447" y="120">
        <parameter key="name" value="text"/>
        <parameter key="target_role" value="label"/>
        <list key="set_additional_roles"/>
      </operator>
      <operator activated="true" class="apply_model" compatibility="5.3.005" expanded="true" height="76" name="Apply Model (2)" width="90" x="648" y="255">
        <list key="application_parameters"/>
      </operator>
      <connect from_op="Read Database" from_port="output" to_op="Set Role (3)" to_port="example set input"/>
      <connect from_op="Set Role (3)" from_port="example set output" to_op="Process Documents from Data" to_port="example set"/>
      <connect from_op="Process Documents from Data" 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="Validation" to_port="training"/>
      <connect from_op="Validation" from_port="model" to_op="Apply Model (2)" to_port="model"/>
      <connect from_op="Validation" from_port="training" to_port="result 1"/>
      <connect from_op="Validation" from_port="averagable 1" to_port="result 2"/>
      <connect from_op="Read Database (2)" from_port="output" to_op="Set Role (4)" to_port="example set input"/>
      <connect from_op="Set Role (4)" from_port="example set 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 (2)" to_port="example set input"/>
      <connect from_op="Set Role (2)" from_port="example set output" to_op="Apply Model (2)" to_port="unlabelled data"/>
      <connect from_op="Apply Model (2)" from_port="labelled data" to_port="result 3"/>
      <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>
Tagged:

Answers

  • haddockhaddock Member Posts: 849 Maven
    Hi there,

    At first glance I'd suggest that you do all your pre-processing before the validation, as you are set up only the training examples get filtered and re-typed, the testing examples therefore have different attributes and RM gets confused..

    Hope that works!

    Best wishes,

    H
  • pelstonpelston Member Posts: 3 Contributor I
    Thanks Haddock.

    Most of the pre-processing is done before it arrives in RM via an ETL process on SQL.

    Are you suggesting removing the below outside of the x-validation operator ?

    <operator activated="true" class="select_attributes" compatibility="5.3.005" expanded="true" height="76" name="Select Attributes" width="90" x="45" y="30">
                <parameter key="attribute_filter_type" value="no_missing_values"/>
                <parameter key="attribute" value="text"/>
              </operator>
              <operator activated="true" class="nominal_to_binominal" compatibility="5.3.005" expanded="true" height="94" name="Nominal to Binominal" width="90" x="179" y="30">
                <parameter key="attribute_filter_type" value="single"/>
                <parameter key="attribute" value="Sentiment"/>
                <parameter key="include_special_attributes" value="true"


    Paul
  • haddockhaddock Member Posts: 849 Maven
    Yep Indeedy!

    The point is that the training and testing example sets need to have the same attributes; something like the following is better.. 
    <?xml version="1.0" encoding="UTF-8" standalone="no"?>
    <process version="5.3.015">
      <context>
        <input/>
        <output/>
        <macros/>
      </context>
      <operator activated="true" class="process" compatibility="5.3.015" expanded="true" name="Process">
        <process expanded="true">
          <operator activated="true" class="read_database" compatibility="5.3.015" expanded="true" height="60" name="Read Database" width="90" x="45" y="30">
            <parameter key="connection" value="sqlserver"/>
            <parameter key="query" value="SELECT top 1000000 ID, Feed, Sentiment&#10;FROM Twitter_Training_Data&#10;WHERE Sentiment = 'Positive'&#10;UNION ALL&#10;SELECT top 1000000 ID, Feed, Sentiment&#10;FROM Twitter_Training_Data&#10;WHERE Sentiment = 'Negative'"/>
            <parameter key="table_name" value="Sample_Feeds"/>
            <enumeration key="parameters"/>
          </operator>
          <operator activated="true" class="set_role" compatibility="5.3.015" expanded="true" height="76" name="Set Role (3)" width="90" x="179" y="30">
            <parameter key="attribute_name" value="ID"/>
            <parameter key="target_role" value="id"/>
            <list key="set_additional_roles"/>
          </operator>
          <operator activated="true" class="text:process_document_from_data" compatibility="5.3.002" expanded="true" height="76" name="Process Documents from Data" width="90" x="313" y="30">
            <parameter key="keep_text" value="true"/>
            <parameter key="prune_above_percent" value="90.0"/>
            <list key="specify_weights"/>
            <process expanded="true">
              <operator activated="true" class="text:tokenize" compatibility="5.3.002" expanded="true" height="60" name="Tokenize" width="90" x="45" y="30"/>
              <operator activated="true" class="text:transform_cases" compatibility="5.3.002" expanded="true" height="60" name="Transform Cases" width="90" x="179" y="30"/>
              <operator activated="true" class="text:filter_stopwords_english" compatibility="5.3.002" expanded="true" height="60" name="Filter Stopwords (English)" width="90" x="313" y="30"/>
              <operator activated="true" class="text:filter_by_length" compatibility="5.3.002" expanded="true" height="60" name="Filter Tokens (by Length)" width="90" x="447" y="30">
                <parameter key="min_chars" value="3"/>
                <parameter key="max_chars" value="999"/>
              </operator>
              <connect from_port="document" to_op="Tokenize" to_port="document"/>
              <connect from_op="Tokenize" from_port="document" to_op="Transform Cases" to_port="document"/>
              <connect from_op="Transform Cases" from_port="document" to_op="Filter Stopwords (English)" to_port="document"/>
              <connect from_op="Filter Stopwords (English)" from_port="document" to_op="Filter Tokens (by Length)" to_port="document"/>
              <connect from_op="Filter Tokens (by Length)" 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="5.3.015" expanded="true" height="76" name="Set Role" width="90" x="45" y="120">
            <parameter key="attribute_name" value="Sentiment"/>
            <parameter key="target_role" value="label"/>
            <list key="set_additional_roles"/>
          </operator>
          <operator activated="true" class="nominal_to_binominal" compatibility="5.3.015" expanded="true" height="94" name="THIS" width="90" x="179" y="120">
            <parameter key="attribute_filter_type" value="single"/>
            <parameter key="attribute" value="Sentiment"/>
            <parameter key="include_special_attributes" value="true"/>
          </operator>
          <operator activated="true" class="select_attributes" compatibility="5.3.015" expanded="true" height="76" name="AND THIS" width="90" x="313" y="120">
            <parameter key="attribute_filter_type" value="no_missing_values"/>
            <parameter key="attribute" value="text"/>
          </operator>
          <operator activated="true" class="x_validation" compatibility="5.3.015" expanded="true" height="112" name="Validation" width="90" x="447" y="120">
            <parameter key="number_of_validations" value="5"/>
            <process expanded="true">
              <operator activated="true" class="support_vector_machine_linear" compatibility="5.3.015" expanded="true" height="76" name="SVM (Linear)" width="90" x="112" y="75"/>
              <connect from_port="training" to_op="SVM (Linear)" to_port="training set"/>
              <connect from_op="SVM (Linear)" from_port="model" to_port="model"/>
              <portSpacing port="source_training" spacing="0"/>
              <portSpacing port="sink_model" spacing="0"/>
              <portSpacing port="sink_through 1" spacing="0"/>
            </process>
            <process expanded="true">
              <operator activated="true" class="apply_model" compatibility="5.3.015" expanded="true" height="76" name="Apply Model" width="90" x="45" y="75">
                <list key="application_parameters"/>
              </operator>
              <operator activated="true" class="performance" compatibility="5.3.015" expanded="true" height="76" name="Performance" width="90" x="179" y="120"/>
              <connect from_port="model" to_op="Apply Model" to_port="model"/>
              <connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/>
              <connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
              <connect from_op="Performance" from_port="performance" to_port="averagable 1"/>
              <portSpacing port="source_model" spacing="0"/>
              <portSpacing port="source_test set" spacing="0"/>
              <portSpacing port="source_through 1" spacing="0"/>
              <portSpacing port="sink_averagable 1" spacing="0"/>
              <portSpacing port="sink_averagable 2" spacing="0"/>
            </process>
          </operator>
          <operator activated="false" class="read_excel" compatibility="5.3.015" expanded="true" height="60" name="Read Excel" width="90" x="45" y="255">
            <parameter key="excel_file" value="C:\Users\dingopole\Desktop\Twitter_Data.xlsx"/>
            <list key="annotations"/>
            <list key="data_set_meta_data_information"/>
          </operator>
          <operator activated="false" class="nominal_to_text" compatibility="5.3.015" expanded="true" height="76" name="Nominal to Text" width="90" x="179" y="255"/>
          <operator activated="true" class="read_database" compatibility="5.3.015" expanded="true" height="60" name="Read Database (2)" width="90" x="45" y="210">
            <parameter key="connection" value="sqlserver"/>
            <parameter key="query" value="SELECT top 100 id, feed as feed&#10;FROM &quot;dbo&quot;.&quot;Twitter_Test_Data&quot;"/>
            <enumeration key="parameters"/>
          </operator>
          <operator activated="true" class="set_role" compatibility="5.3.015" expanded="true" height="76" name="Set Role (4)" width="90" x="179" y="255">
            <parameter key="attribute_name" value="id"/>
            <parameter key="target_role" value="id"/>
            <list key="set_additional_roles"/>
          </operator>
          <operator activated="true" class="text:process_document_from_data" compatibility="5.3.002" expanded="true" height="76" name="Process Documents from Data (2)" width="90" x="313" y="255">
            <parameter key="keep_text" value="true"/>
            <parameter key="prune_above_percent" value="90.0"/>
            <list key="specify_weights"/>
            <process expanded="true">
              <operator activated="true" class="text:tokenize" compatibility="5.3.002" expanded="true" height="60" name="Tokenize (2)" width="90" x="112" y="30"/>
              <operator activated="true" class="text:transform_cases" compatibility="5.3.002" expanded="true" height="60" name="Transform Cases (2)" width="90" x="246" y="30"/>
              <operator activated="true" class="text:filter_stopwords_english" compatibility="5.3.002" expanded="true" height="60" name="Filter Stopwords (2)" width="90" x="380" y="30"/>
              <operator activated="true" class="text:filter_by_length" compatibility="5.3.002" expanded="true" height="60" name="Filter Tokens (2)" width="90" x="514" y="30">
                <parameter key="min_chars" value="3"/>
                <parameter key="max_chars" value="999"/>
              </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_op="Filter Stopwords (2)" to_port="document"/>
              <connect from_op="Filter Stopwords (2)" from_port="document" to_op="Filter Tokens (2)" to_port="document"/>
              <connect from_op="Filter Tokens (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="set_role" compatibility="5.3.015" expanded="true" height="76" name="Set Role (2)" width="90" x="514" y="255">
            <parameter key="attribute_name" value="text"/>
            <parameter key="target_role" value="label"/>
            <list key="set_additional_roles"/>
          </operator>
          <operator activated="true" class="apply_model" compatibility="5.3.015" expanded="true" height="76" name="Apply Model (2)" width="90" x="648" y="255">
            <list key="application_parameters"/>
          </operator>
          <connect from_op="Read Database" from_port="output" to_op="Set Role (3)" to_port="example set input"/>
          <connect from_op="Set Role (3)" from_port="example set output" to_op="Process Documents from Data" to_port="example set"/>
          <connect from_op="Process Documents from Data" 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="THIS" to_port="example set input"/>
          <connect from_op="THIS" from_port="example set output" to_op="AND THIS" to_port="example set input"/>
          <connect from_op="AND THIS" from_port="example set output" to_op="Validation" to_port="training"/>
          <connect from_op="Validation" from_port="model" to_op="Apply Model (2)" to_port="model"/>
          <connect from_op="Validation" from_port="training" to_port="result 1"/>
          <connect from_op="Validation" from_port="averagable 1" to_port="result 2"/>
          <connect from_op="Read Database (2)" from_port="output" to_op="Set Role (4)" to_port="example set input"/>
          <connect from_op="Set Role (4)" from_port="example set 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 (2)" to_port="example set input"/>
          <connect from_op="Set Role (2)" from_port="example set output" to_op="Apply Model (2)" to_port="unlabelled data"/>
          <connect from_op="Apply Model (2)" from_port="labelled data" to_port="result 3"/>
          <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>
    Ciao,

    H
  • pelstonpelston Member Posts: 3 Contributor I
    Thanks for the XML Haddock. Unfortunately I get the same error.

    The input ExampleSet does not match the training ExampleSet. Missing attribute:aaa

    The operator expects the input to have a set of Attributes which is equal or a superset of the ExampleSet used for training of the input model.
    Please make sure that the attributes of the two example sets satisfy this condition.

    Cause: Apply Model
  • haddockhaddock Member Posts: 849 Maven
    Hi there,

    You are training on one set of attributes, and testing on another; put a break before each model applier to check that they are all using the same set of attributes.

    Ciao,

    H
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