help on using an existing word list with the process documents operator

VRVR Member Posts: 6 Contributor I
edited September 7 in Help
Hello,

For some reason I am unable to make the process documents operator to create a word vector when I feed in an existing word list to it. On running the process, the process documents operator creates a word vector wherein the value of all attributes (supplied by the word list) is zero for all examples. This is impossible as I have created the word list on the same data set. Is there a bug? or am I doing something wrong?

XML pasted below. Thanks for your help!

Regards
V



<?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_excel" compatibility="5.3.015" expanded="true" height="60" name="Read Excel" width="90" x="45" y="165">
        <parameter key="excel_file" value="C:\Users\Documents\data.xlsx"/>
        <parameter key="imported_cell_range" value="A1:P5446"/>
        <parameter key="first_row_as_names" value="false"/>
        <list key="annotations">
          <parameter key="0" value="Name"/>
        </list>
        <list key="data_set_meta_data_information">
          <parameter key="0" value="ID Auto.true.polynominal.id"/>
          <parameter key="3" value="Text.true.text.attribute"/>
        </list>
      </operator>
      <operator activated="true" class="nominal_to_text" compatibility="5.3.015" expanded="true" height="76" name="Nominal to Text" width="90" x="246" y="165">
        <parameter key="attribute_filter_type" value="subset"/>
        <parameter key="attributes" value="|Text"/>
        <parameter key="include_special_attributes" value="true"/>
      </operator>
      <operator activated="true" class="retrieve" compatibility="5.3.015" expanded="true" height="60" name="Retrieve word list (2)" width="90" x="514" y="30">
        <parameter key="repository_entry" value="//Local Repository/data/word list"/>
      </operator>
      <operator activated="true" class="text:data_to_documents" compatibility="5.3.002" expanded="true" height="60" name="Data to Documents" width="90" x="447" y="165">
        <list key="specify_weights"/>
      </operator>
      <operator activated="true" class="text:process_documents" compatibility="5.3.002" expanded="true" height="94" name="Process Documents" width="90" x="581" y="165">
        <parameter key="prune_method" value="percentual"/>
        <parameter key="prune_below_percent" value="1.0"/>
        <parameter key="prune_above_percent" value="100.0"/>
        <process expanded="true">
          <operator activated="true" class="text:tokenize" compatibility="5.3.002" expanded="true" height="60" name="Tokenize" width="90" x="246" y="210"/>
          <connect from_port="document" to_op="Tokenize" to_port="document"/>
          <connect from_op="Tokenize" 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="Read Excel" from_port="output" to_op="Nominal to Text" to_port="example set input"/>
      <connect from_op="Nominal to Text" from_port="example set output" to_op="Data to Documents" to_port="example set"/>
      <connect from_op="Retrieve word list (2)" from_port="output" to_op="Process Documents" to_port="word list"/>
      <connect from_op="Data to Documents" from_port="documents" to_op="Process Documents" to_port="documents 1"/>
      <connect from_op="Process Documents" from_port="example set" to_port="result 1"/>
      <connect from_op="Process Documents" 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>

Answers

  • VRVR Member Posts: 6 Contributor I
    Further information on my earlier post. I see that I have a problem only when I try to create a TF-IDF vector. I get non-zero values for all others (Term Frequency, etc.)

    Thanks
    Vidya
  • mschmitzmschmitz Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 2,113  RM Data Scientist
    Hi,

    are you doing exactly the same things inside Process Documents? Both have just a tokenize inside?

    Cheers,
    Martin
    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
  • VRVR Member Posts: 6 Contributor I
    Hi Martin,

    No I am not using the same tokenize - I cannot do so - because here is how I do it

    1. In the first step, I tokenize and extract  a word list - 1 from the data set
    2. Subsequently, I only want to use select parts of speech words to generate a vector, so I have written the word list - 1 from step 1 to a file and run a POS tokenize on this word list - 1 to extract a sub-set of tokens in a word list -2.
    3. The process that I sent to you uses this word-list 2 and gives me zero values for TF-IDF vector for the same data set as in step 1. Interestingly I tried using Generate TF-IDF operator after process operator (but then generating a TF- vector) and I do get non-zero values

    Let me know if this is unclear and thanks for your help!

    Regards
    V
Sign In or Register to comment.