Hi,
I want to use rapidminer for sentiment analysis. Currently I am struggling with what I presume is a very simple question, however I am unable to solve it.
I import data from a repository, one of the fields contains text. I also import multiple text files, using 'Process Documents From Files', with different sentiments like: positive and negative.
As a result i want to have something like this:
| Text | postive | negative |
| This is a bad text | 0 | 1 |
| This is a good text | 1 | 0 |
The occurrences of positive and negative words from every text entry from the repository.
I currently use this but it does not work:
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="6.1.000">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="6.0.002" expanded="true" name="Process">
<process expanded="true">
<operator activated="true" class="text:process_document_from_file" compatibility="6.1.000" expanded="true" height="76" name="Process Documents from Files (2)" width="90" x="45" y="210">
<list key="text_directories">
<parameter key="Positive" value="/Users/vincent/Documents/uni/Jaar 4/Thesis/Test data/wordlist/pos"/>
<parameter key="Negative" value="/Users/vincent/Documents/uni/Jaar 4/Thesis/Test data/wordlist/neg"/>
</list>
<parameter key="use_file_extension_as_type" value="false"/>
<parameter key="vector_creation" value="Binary Term Occurrences"/>
<parameter key="keep_text" value="true"/>
<process expanded="true">
<operator activated="true" class="text:transform_cases" compatibility="6.1.000" expanded="true" height="60" name="Transform Cases (4)" width="90" x="45" y="30"/>
<operator activated="true" class="text:tokenize" compatibility="6.1.000" expanded="true" height="60" name="Tokenize (3)" width="90" x="179" y="30"/>
<operator activated="true" class="text:filter_stopwords_english" compatibility="6.1.000" expanded="true" height="60" name="Filter Stopwords (3)" width="90" x="313" y="30"/>
<operator activated="true" class="text:stem_porter" compatibility="6.1.000" expanded="true" height="60" name="Stem (3)" width="90" x="447" y="30"/>
<connect from_port="document" to_op="Transform Cases (4)" to_port="document"/>
<connect from_op="Transform Cases (4)" from_port="document" to_op="Tokenize (3)" to_port="document"/>
<connect from_op="Tokenize (3)" from_port="document" to_op="Filter Stopwords (3)" to_port="document"/>
<connect from_op="Filter Stopwords (3)" from_port="document" to_op="Stem (3)" to_port="document"/>
<connect from_op="Stem (3)" 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="retrieve" compatibility="6.1.000" expanded="true" height="60" name="Retrieve wordcount test" width="90" x="45" y="30">
<parameter key="repository_entry" value="//Template/wordcount test"/>
</operator>
<operator activated="true" class="text:process_document_from_data" compatibility="6.1.000" expanded="true" height="76" name="Process Documents from Data" width="90" x="246" y="120">
<parameter key="vector_creation" value="Term Occurrences"/>
<parameter key="keep_text" value="true"/>
<list key="specify_weights"/>
<process expanded="true">
<operator activated="true" class="text:transform_cases" compatibility="6.1.000" expanded="true" height="60" name="Transform Cases (3)" width="90" x="45" y="30"/>
<operator activated="true" class="text:tokenize" compatibility="6.1.000" expanded="true" height="60" name="Tokenize (2)" width="90" x="179" y="30"/>
<operator activated="true" class="text:stem_porter" compatibility="6.1.000" expanded="true" height="60" name="Stem (2)" width="90" x="313" y="30"/>
<operator activated="true" class="text:filter_stopwords_english" compatibility="6.1.000" expanded="true" height="60" name="Filter Stopwords (2)" width="90" x="447" y="30"/>
<connect from_port="document" to_op="Transform Cases (3)" to_port="document"/>
<connect from_op="Transform Cases (3)" from_port="document" to_op="Tokenize (2)" to_port="document"/>
<connect from_op="Tokenize (2)" from_port="document" to_op="Stem (2)" to_port="document"/>
<connect from_op="Stem (2)" from_port="document" to_op="Filter Stopwords (2)" to_port="document"/>
<connect from_op="Filter Stopwords (2)" 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 (2)" from_port="word list" to_op="Process Documents from Data" to_port="word list"/>
<connect from_op="Retrieve wordcount test" from_port="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>
Sorry for the newbie question.
Thank you in advance for helping.
Vincent
