NEED HELP! EXTRACT SENTIMENT!

liuj619
liuj619 New Altair Community Member
edited November 5 in Altair RapidMiner
Hello Friends!

I am doing a sentiment analysis for my thesis. I am trying to annotate some tweets. Any one has tutorial for the extract sentiment operator?

The problem occured: Error reading Map failed. PLEASE FIX this for me. Thanks a lot!

I have encoded my XML code here:
:o
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.5.002">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="6.5.002" expanded="true" name="Process">
    <process expanded="true">
      <operator activated="true" class="read_excel" compatibility="6.5.002" expanded="true" height="60" name="Read Excel" width="90" x="45" y="30">
        <parameter key="excel_file" value="E:\CC\database\csv\2.26.xls"/>
        <list key="annotations"/>
        <list key="data_set_meta_data_information"/>
      </operator>
      <operator activated="true" class="nominal_to_text" compatibility="6.5.002" expanded="true" height="76" name="Nominal to Text" width="90" x="179" y="30">
        <parameter key="attribute_filter_type" value="no_missing_values"/>
      </operator>
      <operator activated="true" class="text:process_document_from_data" compatibility="6.5.000" expanded="true" height="76" name="Process Documents from Data" width="90" x="380" y="30">
        <parameter key="keep_text" value="true"/>
        <list key="specify_weights"/>
        <process expanded="true">
          <operator activated="true" class="text:tokenize" compatibility="6.5.000" expanded="true" height="60" name="Tokenize" width="90" x="45" y="30"/>
          <operator activated="true" class="text:transform_cases" compatibility="6.5.000" expanded="true" height="60" name="Transform Cases" width="90" x="179" y="30"/>
          <operator activated="true" class="text:filter_by_length" compatibility="6.5.000" expanded="true" height="60" name="Filter Tokens (by Length)" width="90" x="313" y="30">
            <parameter key="min_chars" value="2"/>
          </operator>
          <operator activated="true" class="text:generate_n_grams_terms" compatibility="6.5.000" expanded="true" height="60" name="Generate n-Grams (Terms)" width="90" x="447" y="30"/>
          <operator activated="true" class="wordnet:open_wordnet_dictionary" compatibility="5.3.000" expanded="true" height="60" name="Open WordNet Dictionary" width="90" x="45" y="120">
            <parameter key="directory" value="E:\CC\database\csv\WordNet-3.0\dict"/>
          </operator>
          <operator activated="true" class="wordnet:stem_wordnet" compatibility="5.3.000" expanded="true" height="76" name="Stem (WordNet)" width="90" x="179" y="120"/>
          <operator activated="true" class="wordnet:find_sentiment_wordnet" compatibility="5.3.000" expanded="true" height="76" name="Extract Sentiment (English)" width="90" x="313" y="120"/>
          <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 Tokens (by Length)" to_port="document"/>
          <connect from_op="Filter Tokens (by Length)" from_port="document" to_op="Generate n-Grams (Terms)" to_port="document"/>
          <connect from_op="Generate n-Grams (Terms)" from_port="document" to_op="Stem (WordNet)" to_port="document"/>
          <connect from_op="Open WordNet Dictionary" from_port="dictionary" to_op="Stem (WordNet)" to_port="dictionary"/>
          <connect from_op="Stem (WordNet)" from_port="document" to_op="Extract Sentiment (English)" to_port="document"/>
          <connect from_op="Stem (WordNet)" from_port="dictionary" to_op="Extract Sentiment (English)" to_port="dictionary"/>
          <connect from_op="Extract Sentiment (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>
      <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="Process Documents from Data" to_port="example set"/>
      <connect from_op="Process Documents from Data" from_port="example set" 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>
[ /code]
???
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