Only search for a specific keyword from a text

tahsin

Hello,

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 ;

if(matches(Notes,".*lies.*"),"Lies",

if(matches(Notes,".*liar.*"),"Lies",

if(matches(Notes,".*lied.*"),"Lies",

if(matches(Notes,".*lying.*"),"Lying","None"))))

Any help is appreciated. Thanks

MarcoBarradas

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

https://academy.rapidminer.com/learn/course/text-and-web-mining-with-rapidminer/text-and-web-mining/lets-get-started

<?xml version="1.0" encoding="UTF-8"?><process version="9.9.002">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <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>
      <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>
      <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"/>
        </list>
        <parameter key="consider_regular_expressions" value="true"/>
        <parameter key="add_default_mapping" value="false"/>
      </operator>
      <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"/>
    </process>
  </operator>
</process>

MartinLiebig

Dont you want to use the contains function?

Best,

Martin

tahsin

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. 

tahsin

Thanks @MarcoBarradas