Text Mining - Detect Outliers

User: "flo"
flo
New Altair Community Member
Updated by Jocelyn

Hi everybody,

 

I am fairly new to RM and I have encountered a problem I havent been able to solve for a couple of days now.

 

The data is about companies ( as ID) and parts of their audit opinion.

My dataset contains about 4000 examples with some attributes but i only select 2 of them for my further steps. The first attribute is an ID and the second attribute contains texts (see attachment). I was trying to detect outliers only based on the text (e.g. wierd words or so...)

 

I also have the XML code :

<?xml version="1.0" encoding="UTF-8"?><process version="8.2.000">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="8.2.000" expanded="true" name="Process">
    <process expanded="true">
      <operator activated="true" class="retrieve" compatibility="8.2.000" expanded="true" height="68" name="Retrieve KAM_Texts Alles" width="90" x="45" y="34">
        <parameter key="repository_entry" value="../Daten/KAM_Texts Alles"/>
      </operator>
      <operator activated="true" class="subprocess" compatibility="8.2.000" expanded="true" height="82" name="Select Filter Set role" width="90" x="246" y="34">
        <process expanded="true">
          <operator activated="true" class="select_attributes" compatibility="8.2.000" expanded="true" height="82" name="Select Attributes" width="90" x="45" y="34">
            <parameter key="attribute_filter_type" value="subset"/>
            <parameter key="attributes" value="ID|Verkettet"/>
          </operator>
          <operator activated="true" class="filter_examples" compatibility="8.2.000" expanded="true" height="103" name="Filter Examples" width="90" x="246" y="34">
            <list key="filters_list">
              <parameter key="filters_entry_key" value="Verkettet.is_not_missing."/>
            </list>
          </operator>
          <operator activated="true" class="set_role" compatibility="8.2.000" expanded="true" height="82" name="Set Role" width="90" x="380" y="34">
            <parameter key="attribute_name" value="ID"/>
            <parameter key="target_role" value="id"/>
            <list key="set_additional_roles">
              <parameter key="Verkettet" value="regular"/>
              <parameter key="ID" value="id"/>
            </list>
          </operator>
          <operator activated="true" class="nominal_to_text" compatibility="8.2.000" expanded="true" height="82" name="Nominal to Text" width="90" x="514" y="34">
            <parameter key="attribute_filter_type" value="single"/>
            <parameter key="attribute" value="Verkettet"/>
          </operator>
          <connect from_port="in 1" to_op="Select Attributes" to_port="example set input"/>
          <connect from_op="Select Attributes" from_port="example set output" to_op="Filter Examples" to_port="example set input"/>
          <connect from_op="Filter Examples" from_port="example set output" to_op="Set Role" to_port="example set input"/>
          <connect from_op="Set Role" from_port="example set output" to_op="Nominal to Text" to_port="example set input"/>
          <connect from_op="Nominal to Text" from_port="example set output" to_port="out 1"/>
          <portSpacing port="source_in 1" spacing="0"/>
          <portSpacing port="source_in 2" spacing="0"/>
          <portSpacing port="sink_out 1" spacing="0"/>
          <portSpacing port="sink_out 2" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" class="text:process_document_from_data" compatibility="8.1.000" expanded="true" height="82" name="Process Documents from Data" width="90" x="380" y="34">
        <parameter key="keep_text" value="true"/>
        <parameter key="prune_method" value="percentual"/>
        <parameter key="prune_above_percent" value="70.0"/>
        <list key="specify_weights"/>
        <process expanded="true">
          <operator activated="true" class="text:transform_cases" compatibility="8.1.000" expanded="true" height="68" name="Transform Cases" width="90" x="112" y="34"/>
          <operator activated="true" class="text:tokenize" compatibility="8.1.000" expanded="true" height="68" name="Tokenize" width="90" x="246" y="34"/>
          <operator activated="true" class="text:filter_by_length" compatibility="8.1.000" expanded="true" height="68" name="Filter Tokens (by Length)" width="90" x="380" y="34">
            <parameter key="min_chars" value="3"/>
          </operator>
          <operator activated="true" class="text:filter_stopwords_english" compatibility="8.1.000" expanded="true" height="68" name="Filter Stopwords (English)" width="90" x="514" y="34"/>
          <operator activated="true" class="text:filter_stopwords_dictionary" compatibility="8.1.000" expanded="true" height="82" name="Filter Stopwords (Dictionary)" width="90" x="648" y="34">
            <parameter key="file" value="E:\Studium\MASTER FACT\MASTERARBEIT\Dictonary filtering stopwords .txt"/>
          </operator>
          <operator activated="true" class="text:stem_porter" compatibility="8.1.000" expanded="true" height="68" name="Stem (Porter)" width="90" x="782" y="34"/>
          <connect from_port="document" to_op="Transform Cases" to_port="document"/>
          <connect from_op="Transform Cases" from_port="document" to_op="Tokenize" to_port="document"/>
          <connect from_op="Tokenize" from_port="document" to_op="Filter Tokens (by Length)" to_port="document"/>
          <connect from_op="Filter Tokens (by Length)" from_port="document" to_op="Filter Stopwords (English)" to_port="document"/>
          <connect from_op="Filter Stopwords (English)" from_port="document" to_op="Filter Stopwords (Dictionary)" to_port="document"/>
          <connect from_op="Filter Stopwords (Dictionary)" from_port="document" to_op="Stem (Porter)" to_port="document"/>
          <connect from_op="Stem (Porter)" 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="detect_outlier_distances" compatibility="8.2.000" expanded="true" height="82" name="Detect Outlier (Distances)" width="90" x="648" y="34">
        <parameter key="distance_function" value="cosine distance"/>
      </operator>
      <connect from_op="Retrieve KAM_Texts Alles" from_port="output" to_op="Select Filter Set role" to_port="in 1"/>
      <connect from_op="Select Filter Set role" from_port="out 1" to_op="Process Documents from Data" to_port="example set"/>
      <connect from_op="Process Documents from Data" from_port="example set" to_op="Detect Outlier (Distances)" to_port="example set input"/>
      <connect from_op="Process Documents from Data" from_port="word list" to_port="result 2"/>
      <connect from_op="Detect Outlier (Distances)" 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"/>
      <portSpacing port="sink_result 3" spacing="0"/>
      <portSpacing port="sink_result 4" spacing="0"/>
    </process>
  </operator>
</process>

Somehow as a result i get the first 10 examples shown as outliers, which I think is kind of wierd or wrong.

 

I am not even sure whether this is the right way to tackle my problem.

 

Anyway, I would really appreciate any kinds of hints or solutions.

 

Thank you.

Best

Flo

 

 

 

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