"sentiment analysis using rapidminer"

User: "sunnyfunghy"
New Altair Community Member
Updated by Jocelyn
Hi, everyone,
      I am using rapidminer to do sentiment analysis according to the following website.

http://kmandcomputing.blogspot.com/2008/06/opinion-mining-with-rapidminer-quick.html.

I am using the latest version of rapidminer to do it.

Here is the codes:

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.1.004">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.1.004" expanded="true" name="Process">
    <process expanded="true" height="242" width="346">
      <operator activated="true" class="text:process_document_from_file" compatibility="5.1.001" expanded="true" height="76" name="Process Documents from Files" width="90" x="69" y="106">
        <list key="text_directories">
          <parameter key="positive" value="C:\Documents and Settings\sunny\Desktop\mix20_rand700_tokens\tokens\pos"/>
          <parameter key="negative" value="C:\Documents and Settings\sunny\Desktop\mix20_rand700_tokens\tokens\neg"/>
        </list>
        <parameter key="datamanagement" value="short_sparse_array"/>
        <process expanded="true" height="517" width="709">
          <operator activated="true" class="text:tokenize" compatibility="5.1.001" expanded="true" height="60" name="Tokenize" width="90" x="45" y="30"/>
          <operator activated="true" class="text:filter_by_length" compatibility="5.1.001" expanded="true" height="60" name="Filter Tokens (by Length)" width="90" x="45" y="165"/>
          <operator activated="true" class="text:stem_porter" compatibility="5.1.001" expanded="true" height="60" name="Stem (Porter)" width="90" x="45" y="300"/>
          <operator activated="true" class="text:filter_stopwords_english" compatibility="5.1.001" expanded="true" height="60" name="Filter Stopwords (English)" width="90" x="313" y="75"/>
          <connect 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="Stem (Porter)" to_port="document"/>
          <connect from_op="Stem (Porter)" from_port="document" to_op="Filter Stopwords (English)" to_port="document"/>
          <connect from_op="Filter Stopwords (English)" 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="x_validation" compatibility="5.1.004" expanded="true" height="112" name="Validation" width="90" x="246" y="75">
        <process expanded="true" height="517" width="329">
          <operator activated="true" class="support_vector_machine_linear" compatibility="5.1.004" expanded="true" height="76" name="SVM (Linear)" width="90" x="89" y="49"/>
          <connect from_port="training" to_op="SVM (Linear)" to_port="training set"/>
          <connect from_op="SVM (Linear)" from_port="model" to_port="model"/>
          <portSpacing port="source_training" spacing="0"/>
          <portSpacing port="sink_model" spacing="0"/>
          <portSpacing port="sink_through 1" spacing="0"/>
        </process>
        <process expanded="true" height="517" width="329">
          <operator activated="true" class="apply_model" compatibility="5.1.004" expanded="true" height="76" name="Apply Model" width="90" x="100" y="45">
            <list key="application_parameters"/>
          </operator>
          <operator activated="true" class="performance" compatibility="5.1.004" expanded="true" height="76" name="Performance" width="90" x="45" y="165"/>
          <connect from_port="model" to_op="Apply Model" to_port="model"/>
          <connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/>
          <connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
          <connect from_op="Performance" from_port="performance" to_port="averagable 1"/>
          <portSpacing port="source_model" spacing="0"/>
          <portSpacing port="source_test set" spacing="0"/>
          <portSpacing port="source_through 1" spacing="0"/>
          <portSpacing port="sink_averagable 1" spacing="0"/>
          <portSpacing port="sink_averagable 2" spacing="0"/>
        </process>
      </operator>
      <connect from_op="Process Documents from Files" from_port="example set" to_op="Validation" to_port="training"/>
      <connect from_op="Validation" from_port="model" to_port="result 1"/>
      <connect from_op="Validation" from_port="training" 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>



The data set comes from this website:  http://www.cs.cornell.edu/People/pabo/movie-review-data/
I downloaded polarity dataset v0.9 to use sentiment analysis.

However, the simulating process is more than 2 days and still continuing. What wrong is it? I cannot understand why the process is running for more than 2 days? Is it common? Look forward to hearing from you soon.


Many thanks,
Sunny

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