Hello,
I am trying to do sentiment analysis for whic i am trying to train the model using SVM (Linear). i have 12K examples (6K pos and 6K neg).
But when i am running the process it is failing due to out of memory error. I have 4GB of RAm in my pc.
Is it not sufficient to run this type process with my system's config?
Here is the code below:
(Ive intentionally kept the pruning parameter to .015...as it is my requirement)
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.2.008">
<context>
<input/>
<output/>
<macros/>
</context>
<operator activated="true" class="process" compatibility="5.2.008" expanded="true" name="Process">
<parameter key="logverbosity" value="off"/>
<process expanded="true" height="550" width="567">
<operator activated="true" class="text:process_document_from_file" compatibility="5.3.000" expanded="true" height="76" name="Process Documents from Files" width="90" x="45" y="120">
<list key="text_directories">
<parameter key="Negative" value="D:\InfoSpace\Rapid Miner\My Tokens\Negative_Movie_Reviews_6000_Samples"/>
<parameter key="Positive" value="D:\InfoSpace\Rapid Miner\My Tokens\Positive_Movie_Reviews_6000_Samples"/>
</list>
<parameter key="use_file_extension_as_type" value="false"/>
<parameter key="prune_method" value="percentual"/>
<parameter key="prunde_below_percent" value="0.015"/>
<parameter key="prune_above_percent" value="90.0"/>
<parameter key="prune_above_rank" value="0.05"/>
<process expanded="true" height="550" width="748">
<operator activated="true" class="text:tokenize" compatibility="5.3.000" expanded="true" height="60" name="Tokenize" width="90" x="45" y="75">
<parameter key="mode" value="specify characters"/>
<parameter key="characters" value=".,:;@#!? <>|\/[]()%^&-_=+""/>
<parameter key="expression" value="(and)"/>
</operator>
<operator activated="true" class="text:transform_cases" compatibility="5.3.000" expanded="true" height="60" name="Transform Cases" width="90" x="179" y="75">
<parameter key="transform_to" value="upper case"/>
</operator>
<operator activated="true" class="text:filter_stopwords_english" compatibility="5.3.000" expanded="true" height="60" name="Filter Stopwords (English)" width="90" x="313" y="75"/>
<operator activated="false" class="text:filter_tokens_by_pos" compatibility="5.3.000" expanded="true" height="60" name="Filter Tokens (2)" width="90" x="179" y="435">
<parameter key="expression" value="JJ.*|RB.*|RBR.*|RBS.*|VBG.*|NN.*"/>
</operator>
<operator activated="false" class="wordnet:open_wordnet_dictionary" compatibility="5.2.000" expanded="true" height="60" name="Open WordNet Dictionary" width="90" x="45" y="390">
<parameter key="directory" value="C:\Users\vnagpal\Downloads\dict"/>
</operator>
<operator activated="false" class="wordnet:stem_wordnet" compatibility="5.2.000" expanded="true" height="76" name="Stem (WordNet)" width="90" x="246" y="255"/>
<operator activated="true" class="text:stem_porter" compatibility="5.3.000" expanded="true" height="60" name="Stem (Porter)" width="90" x="514" y="165"/>
<operator activated="true" class="text:generate_n_grams_terms" compatibility="5.3.000" expanded="true" height="60" name="Generate n-Grams (Terms)" width="90" x="380" y="255"/>
<operator activated="true" class="text:filter_by_length" compatibility="5.3.000" expanded="true" height="60" name="Filter Tokens (by Length)" width="90" x="514" y="255">
<parameter key="min_chars" value="3"/>
</operator>
<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 Stopwords (English)" to_port="document"/>
<connect from_op="Filter Stopwords (English)" from_port="document" to_op="Stem (Porter)" to_port="document"/>
<connect from_op="Stem (Porter)" from_port="document" to_op="Generate n-Grams (Terms)" to_port="document"/>
<connect from_op="Generate n-Grams (Terms)" from_port="document" to_op="Filter Tokens (by Length)" to_port="document"/>
<connect from_op="Filter Tokens (by Length)" 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="store" compatibility="5.2.008" expanded="true" height="60" name="Store (2)" width="90" x="246" y="300">
<parameter key="repository_entry" value="//NewLocalRepository/InfoSpace Model/WordList"/>
</operator>
<operator activated="true" class="x_validation" compatibility="5.2.008" expanded="true" height="112" name="Validation (2)" width="90" x="246" y="30">
<description>A cross-validation evaluating a decision tree model.</description>
<parameter key="number_of_validations" value="2"/>
<process expanded="true" height="497" width="232">
<operator activated="false" class="support_vector_machine" compatibility="5.2.008" expanded="true" height="112" name="SVM" width="90" x="112" y="255">
<parameter key="C" value="10.0"/>
<parameter key="convergence_epsilon" value="0.001"/>
</operator>
<operator activated="true" class="support_vector_machine_linear" compatibility="5.2.008" expanded="true" height="76" name="SVM (Linear)" width="90" x="45" y="30"/>
<connect from_port="training" to_op="SVM (Linear)" to_port="training set"/>
<connect from_op="SVM (Linear)" from_port="model" to_port="model"/>
<connect from_op="SVM (Linear)" from_port="exampleSet" to_port="through 1"/>
<portSpacing port="source_training" spacing="0"/>
<portSpacing port="sink_model" spacing="0"/>
<portSpacing port="sink_through 1" spacing="0"/>
<portSpacing port="sink_through 2" spacing="0"/>
</process>
<process expanded="true" height="497" width="299">
<operator activated="true" class="apply_model" compatibility="5.2.008" expanded="true" height="76" name="Apply Model (2)" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance" compatibility="5.2.008" expanded="true" height="76" name="Performance (2)" width="90" x="179" y="30"/>
<connect from_port="model" to_op="Apply Model (2)" to_port="model"/>
<connect from_port="test set" to_op="Apply Model (2)" to_port="unlabelled data"/>
<connect from_op="Apply Model (2)" from_port="labelled data" to_op="Performance (2)" to_port="labelled data"/>
<connect from_op="Performance (2)" 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="source_through 2" spacing="0"/>
<portSpacing port="sink_averagable 1" spacing="0"/>
<portSpacing port="sink_averagable 2" spacing="0"/>
</process>
</operator>
<operator activated="true" class="store" compatibility="5.2.008" expanded="true" height="60" name="Store" width="90" x="380" y="30">
<parameter key="repository_entry" value="//NewLocalRepository/InfoSpace Model/Model"/>
</operator>
<connect from_op="Process Documents from Files" from_port="example set" to_op="Validation (2)" to_port="training"/>
<connect from_op="Process Documents from Files" from_port="word list" to_op="Store (2)" to_port="input"/>
<connect from_op="Store (2)" from_port="through" to_port="result 2"/>
<connect from_op="Validation (2)" from_port="model" to_op="Store" to_port="input"/>
<connect from_op="Store" from_port="through" 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"/>
</process>
</operator>
</process>
