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我試圖在RapidMiner中使用SVM對數據庫中包含的推文進行分類（TASS 2014語料庫），但是，無論使用什麼樣的性能模塊，應用模型結束時總是以一種方式評估所有推文（即所有正面，全部負面，全部中性或全部無）。不知道我是否配置錯誤。RapidMiner中的Twitter數據庫TextMining以唯一的方式評估所有評論
After Multipliy operator，角色輸出（第一角色，第二名稱，第三類型）：
- 文本，文本，文本
- 標籤，值，標稱
- ID，tweetid，標稱
After September Operator Role (2)，角色輸出是（角色第一，第二名，第三種）：
- 標籤，文本，文本
- ID，tweetid，標稱
然後，我添加RapidMiner的XML代碼：
<?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="false" class="read_database" compatibility="5.3.015" expanded="true" height="60" name="Read Database" width="90" x="45" y="30">
<parameter key="connection" value="sqlserver2014"/>
<parameter key="query" value="SELECT TOP 4246 "content", "tweetid", "value" FROM "dbo"."TweetsTrainClean" WHERE 'POS'=SUBSTRING(value,1,3) UNION ALL SELECT TOP 4246 "content", "tweetid", "value" FROM "dbo"."TweetsTrainClean" WHERE 'NEU'=SUBSTRING(value,1,3) UNION ALL SELECT TOP 4246 "content", "tweetid", "value" FROM "dbo"."TweetsTrainClean" WHERE 'NEG'=SUBSTRING(value,1,3)"/>
<enumeration key="parameters"/>
</operator>
<operator activated="true" class="read_database" compatibility="5.3.015" expanded="true" height="60" name="Read Database (5)" width="90" x="45" y="300">
<parameter key="connection" value="sqlserver2014"/>
<parameter key="query" value="SELECT top 1000 * FROM "dbo"."TweetsGeneralClean""/>
<enumeration key="parameters"/>
</operator>
<operator activated="false" class="read_database" compatibility="5.3.015" expanded="true" height="60" name="Read Database (2)" width="90" x="45" y="210">
<parameter key="connection" value="sqlserver2014"/>
<parameter key="query" value="SELECT * FROM ( SELECT *, ROW_NUMBER() OVER (ORDER BY tweetid) AS RowNum FROM "dbo"."TweetsGeneralClean" ) AS tabla WHERE tabla.RowNum BETWEEN 30000 AND 64798"/>
<enumeration key="parameters"/>
</operator>
<operator activated="true" class="select_attributes" compatibility="5.3.015" expanded="true" height="76" name="Select Attributes (2)" width="90" x="179" y="255">
<parameter key="attribute_filter_type" value="subset"/>
<parameter key="attributes" value="|tweetid|content"/>
</operator>
<operator activated="true" class="text:process_document_from_data" compatibility="5.3.002" expanded="true" height="76" name="Process Documents from Data (2)" width="90" x="313" y="255">
<parameter key="keep_text" value="true"/>
<list key="specify_weights"/>
<process expanded="true">
<connect 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="set_role" compatibility="5.3.015" expanded="true" height="76" name="Set Role (2)" width="90" x="447" y="255">
<parameter key="attribute_name" value="text"/>
<parameter key="target_role" value="label"/>
<list key="set_additional_roles">
<parameter key="tweetid" value="id"/>
</list>
</operator>
<operator activated="true" class="read_database" compatibility="5.3.015" expanded="true" height="60" name="Read Database (3)" width="90" x="45" y="75">
<parameter key="connection" value="sqlserver2014"/>
<parameter key="query" value="select "content","tweetid","value" from "dbo"."TweetsTrainClean" where 'POS'=SUBSTRING("value",1,3) or 'NEG'=SUBSTRING("value",1,3) 	or 'NEU'=SUBSTRING("value",1,3) or 'NON'=SUBSTRING("value",1,3) order by rand()"/>
<enumeration key="parameters"/>
</operator>
<operator activated="true" class="text_to_nominal" compatibility="5.3.015" expanded="true" height="76" name="Text to Nominal" width="90" x="112" y="120">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="value"/>
<parameter key="attributes" value="|type|value"/>
</operator>
<operator activated="true" class="set_role" compatibility="5.3.015" expanded="true" height="76" name="Set Role" width="90" x="179" y="30">
<parameter key="attribute_name" value="tweetid"/>
<parameter key="target_role" value="id"/>
<list key="set_additional_roles">
<parameter key="value" value="label"/>
</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="120">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="content"/>
</operator>
<operator activated="true" class="text:process_document_from_data" compatibility="5.3.002" expanded="true" height="76" name="Process Documents from Data" width="90" x="313" y="30">
<parameter key="keep_text" value="true"/>
<list key="specify_weights"/>
<process expanded="true">
<connect 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="multiply" compatibility="5.3.015" expanded="true" height="94" name="Multiply" width="90" x="380" y="120"/>
<operator activated="true" class="x_validation" compatibility="5.3.015" expanded="true" height="112" name="Validation" width="90" x="514" y="30">
<parameter key="number_of_validations" value="5"/>
<parameter key="sampling_type" value="linear sampling"/>
<process expanded="true">
<operator activated="true" class="select_attributes" compatibility="5.3.015" expanded="true" height="76" name="Select Attributes" width="90" x="45" y="30">
<parameter key="attribute_filter_type" value="no_missing_values"/>
<parameter key="attribute" value="content"/>
<parameter key="attributes" value="tweetid|type||content"/>
</operator>
<operator activated="true" class="nominal_to_binominal" compatibility="5.3.015" expanded="true" height="94" name="Nominal to Binominal" width="90" x="45" y="120">
<parameter key="attribute_filter_type" value="single"/>
<parameter key="attribute" value="value"/>
</operator>
<operator activated="true" class="polynomial_by_binomial_classification" compatibility="5.3.015" expanded="true" height="76" name="Polynominal by Binominal Classification" width="90" x="45" y="255">
<process expanded="true">
<operator activated="true" class="support_vector_machine_linear" compatibility="5.3.015" expanded="true" height="76" name="SVM (Linear)" width="90" x="45" y="255"/>
<connect from_port="training set" to_op="SVM (Linear)" to_port="training set"/>
<connect from_op="SVM (Linear)" from_port="model" to_port="model"/>
<portSpacing port="source_training set" spacing="0"/>
<portSpacing port="sink_model" spacing="0"/>
</process>
</operator>
<connect from_port="training" to_op="Select Attributes" to_port="example set input"/>
<connect from_op="Select Attributes" from_port="example set output" to_op="Nominal to Binominal" to_port="example set input"/>
<connect from_op="Nominal to Binominal" from_port="example set output" to_op="Polynominal by Binominal Classification" to_port="training set"/>
<connect from_op="Polynominal by Binominal Classification" 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">
<operator activated="true" class="apply_model" compatibility="5.3.015" expanded="true" height="76" name="Apply Model" width="90" x="45" y="30">
<list key="application_parameters"/>
</operator>
<operator activated="true" class="performance" compatibility="5.3.015" expanded="true" height="76" name="Performance" width="90" x="179" y="30"/>
<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>
<operator activated="true" class="apply_model" compatibility="5.3.015" expanded="true" height="76" name="Apply Model (2)" width="90" x="648" y="210">
<list key="application_parameters"/>
</operator>
<connect from_op="Read Database (5)" from_port="output" to_op="Select Attributes (2)" to_port="example set input"/>
<connect from_op="Select Attributes (2)" from_port="example set output" to_op="Process Documents from Data (2)" to_port="example set"/>
<connect from_op="Process Documents from Data (2)" from_port="example set" to_op="Set Role (2)" to_port="example set input"/>
<connect from_op="Set Role (2)" from_port="example set output" to_op="Apply Model (2)" to_port="unlabelled data"/>
<connect from_op="Read Database (3)" from_port="output" to_op="Text to Nominal" to_port="example set input"/>
<connect from_op="Text to Nominal" from_port="example set output" to_op="Set Role" to_port="example set input"/>
<connect from_op="Set Role" from_port="example set 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_op="Multiply" to_port="input"/>
<connect from_op="Multiply" from_port="output 1" to_op="Validation" to_port="training"/>
<connect from_op="Multiply" from_port="output 2" to_port="result 1"/>
<connect from_op="Validation" from_port="model" to_op="Apply Model (2)" to_port="model"/>
<connect from_op="Validation" from_port="averagable 1" to_port="result 3"/>
<connect from_op="Apply Model (2)" from_port="labelled data" 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"/>
<portSpacing port="sink_result 4" spacing="0"/>
</process>
</operator>
</process>