Only search for a specific keyword from a text

tahsintahsin Member Posts: 20 Contributor II

I want to search for a specific keyword from a text and assign them by their type. I am using the Generate Attributes operator and writing a function to search for the keywords. I have this problem, I have words like, "liar", "lies", "lied" in the list. The function expression that I am using picks up words like "families", "familiar" as well. I only want words that has "lies", "liar", not "families" or "familiar". 

This was my approach ;


Any help is appreciated. Thanks

Best Answer

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    MarcoBarradasMarcoBarradas Administrator, Employee, RapidMiner Certified Analyst, Member Posts: 272 Unicorn
    Solution Accepted
    Hello @tahsin

    You could use a MAP operator with regex configured in order to replace all the other text on your text attribute. You may want to create a copy of it first.
    I'm pasting a process that could help you get there.
    Since you are doing some text processing I would recommend going through the Text and Web Mining tutorials at the academy


    <?xml version="1.0" encoding="UTF-8"?><process version="9.9.002">
      <operator activated="true" class="process" compatibility="9.9.002" expanded="true" name="Process">
        <parameter key="logverbosity" value="init"/>
        <parameter key="random_seed" value="-1"/>
        <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="utility:create_exampleset" compatibility="9.9.002" expanded="true" height="68" name="Create ExampleSet" width="90" x="246" y="85">
            <parameter key="generator_type" value="comma separated text"/>
            <parameter key="number_of_examples" value="100"/>
            <parameter key="use_stepsize" value="false"/>
            <list key="function_descriptions"/>
            <parameter key="add_id_attribute" value="false"/>
            <list key="numeric_series_configuration"/>
            <list key="date_series_configuration"/>
            <list key="date_series_configuration (interval)"/>
            <parameter key="date_format" value="yyyy-MM-dd HH:mm:ss"/>
            <parameter key="time_zone" value="SYSTEM"/>
            <parameter key="input_csv_text" value="Text&#10;He said a couple of lies to us&#10;The wife pointed he was a liar and that was the reason for it&#10;Person lied about the reason he was at that place&#10;He was lying all the time"/>
            <parameter key="column_separator" value=","/>
            <parameter key="parse_all_as_nominal" value="false"/>
            <parameter key="decimal_point_character" value="."/>
            <parameter key="trim_attribute_names" value="true"/>
          <operator activated="true" class="generate_copy" compatibility="9.9.002" expanded="true" height="82" name="Generate Copy" width="90" x="380" y="85">
            <parameter key="attribute_name" value="Text"/>
            <parameter key="new_name" value="Type"/>
          <operator activated="true" class="map" compatibility="9.9.002" expanded="true" height="82" name="Map" width="90" x="514" y="85">
            <parameter key="attribute_filter_type" value="single"/>
            <parameter key="attribute" value="Type"/>
            <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"/>
            <list key="value_mappings">
              <parameter key=".+\b(lies|liar|lied)\b.+" value="Liar"/>
              <parameter key=".+\b(lying)\b.+" value="Lying"/>
            <parameter key="consider_regular_expressions" value="true"/>
            <parameter key="add_default_mapping" value="false"/>
          <connect from_op="Create ExampleSet" from_port="output" to_op="Generate Copy" to_port="example set input"/>
          <connect from_op="Generate Copy" from_port="example set output" to_op="Map" to_port="example set input"/>
          <connect from_op="Map" 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"/>


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    MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,517 RM Data Scientist
    Dont you want to use the contains function?

    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
  • Options
    tahsintahsin Member Posts: 20 Contributor II
    hi Martin, I used the contains function first but it does the same thing. Picks up everything. 

    This is actually how I do it in python,
    df['Type'] = np.where(df.Notes.str.contains(r'\b(lies|liar|lied)\b'), 'Lies',
                 np.where(df.Notes.str.contains(r'\b(lying)\b'), 'Lying','None'))

    Not sure how to do it in here. 
  • Options
    tahsintahsin Member Posts: 20 Contributor II
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