Filter Stopwords (English) takes out a non-stopword token

AO1

Greetings community,

I am learning to use RapidMiner to extract and to analyse occurrences of selected keywords in annual reports, prepared by commercial entities. RapidMiner works well for all the key words I study, except for one.

For some reason, Filter Stopwords (English) operator filters out word 'important' for the whole corpus of documents I study.

E.g. I have a document , where manual search shows me that it contains the following words of interest:

important - 11
importantly - 4
importance - 4

Using Process Documents from Files, with Filter Stopwords (English) operator ON, I can see only occurrences of the words 'importantly' and 'importance', having this operator OFF allows me also to extract the expected 11 occurrences of word 'important'.

I tried to change tokenizing from 'non letters' to 'linguistic tokens' option, but it did not help.

Question: Is it an (known) error?

( I don't see the </> icon to share my process )

Kind regards,

AO1

Process and test document added

<?xml version="1.0" encoding="UTF-8"?><process version="10.4.001">

  <context>

    <input/>

    <output/>

    <macros/>

  </context>

  <operator activated="true" class="process" compatibility="10.4.001" 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="text:process_document_from_file" compatibility="10.0.000" expanded="true" height="82" name="Process Documents from Files" width="90" x="45" y="34">

        <list key="text_directories">

          <parameter key="test RM" value="C:/Users/ovsyanna/OneDrive - Lincoln University/My Documents/test for RM/test PDF"/>

        </list>

        <parameter key="file_pattern" value="*"/>

        <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"/>

        <parameter key="create_word_vector" value="true"/>

        <parameter key="vector_creation" value="Term Frequency"/>

        <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"/>

        <parameter key="data_management" value="auto"/>

        <process expanded="true">

          <operator activated="true" class="text:tokenize" compatibility="10.0.000" expanded="true" height="68" name="Tokenize" width="90" x="112" 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:transform_cases" compatibility="10.0.000" expanded="true" height="68" name="Transform Cases" width="90" x="246" y="34">

            <parameter key="transform_to" value="lower case"/>

          </operator>

          <operator activated="true" class="text:filter_stopwords_english" compatibility="10.0.000" expanded="true" height="68" name="Filter Stopwords (English)" width="90" x="380" y="34"/>

          <operator activated="true" class="text:filter_tokens_by_content" compatibility="10.0.000" expanded="true" height="68" name="Filter Tokens (by Content)" width="90" x="648" y="34">

            <parameter key="condition" value="contains"/>

            <parameter key="string" value="importan"/>

            <parameter key="regular_expression" value="(important)"/>

            <parameter key="case_sensitive" value="false"/>

            <parameter key="invert condition" value="false"/>

          </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 Content)" to_port="document"/>

          <connect from_op="Filter Tokens (by Content)" 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>

      <connect from_op="Process Documents from Files" from_port="example set" to_port="result 1"/>

      <connect from_op="Process Documents from Files" from_port="word list" 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"/>

    </process>

  </operator>

</process>

Roland Jones_21245

Hi @AO1 ,

I'm able to replicate on all the versions available to me. I will see if I can find out more from the development team. In the meantime, I would suggest using Filter Stopwords (Dictionary) for more fine-grained control.

Best,

Roland