how to calculate F score for sentiment analysis? Is there any operator? if yes, how to use it?
<?xml version="1.0" encoding="UTF-8"?><process version="8.1.003"> <context> <input/> <output/> <macros/> </context> <operator activated="true" class="process" compatibility="8.1.003" expanded="true" name="Process"> <process expanded="true"> <operator activated="true" class="social_media:search_twitter" compatibility="8.1.000" expanded="true" height="68" name="Search Twitter" width="90" x="45" y="34"> <parameter key="connection" value="Twitter connection 1"/> <parameter key="query" value="hydrocarbon"/> <parameter key="limit" value="1000"/> <parameter key="language" value="en"/> </operator> <operator activated="true" class="find_threshold" compatibility="8.1.003" expanded="true" height="82" name="Find Threshold" width="90" x="313" y="238"/> <operator activated="true" class="remove_duplicates" compatibility="8.1.003" expanded="true" height="103" name="Remove Duplicates" width="90" x="179" y="34"> <parameter key="include_special_attributes" value="true"/> </operator> <operator activated="true" class="apply_threshold" compatibility="8.1.003" expanded="true" height="82" name="Apply Threshold" width="90" x="179" y="238"/> <operator activated="true" class="write_excel" compatibility="8.1.003" expanded="true" height="82" name="Write Excel" width="90" x="313" y="34"> <parameter key="excel_file" value="C:\Users\common.AMETUNIV\Documents\twitter data.xlsx"/> </operator> <operator activated="true" class="com.aylien.textapi.rapidminer:aylien_sentiment" compatibility="0.2.000" expanded="true" height="68" name="Analyze Sentiment" width="90" x="447" y="136"> <parameter key="connection" value="NewConnection"/> <parameter key="input_attribute" value="Text"/> </operator> <operator activated="true" class="apply_model" compatibility="8.1.003" expanded="true" height="82" name="Apply Model" width="90" x="246" y="340"> <list key="application_parameters"/> </operator> <connect from_op="Search Twitter" from_port="output" to_op="Remove Duplicates" to_port="example set input"/> <connect from_op="Remove Duplicates" from_port="original" to_op="Write Excel" to_port="input"/> <connect from_op="Write Excel" from_port="through" to_op="Analyze Sentiment" to_port="Example Set"/> <connect from_op="Analyze Sentiment" 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>
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F-score is one of the performance metric options in the Performance(Binominal Classification) operator, listed as f-measure in the options panel.
@Telcontar120 after using the performance operator and using f-measure in the options. My process is having so,e other issues. I am getting message " The label attribute(Created-At) must be nominal for the calculation of performance criteria for binomial classification task". I am confused and need some help regarding this. Can you please help me out with the problem.
The label is the attribute that you are trying to predict. I am not sure whether you want it to be "Created-At" or not. And it must also be set to type nominal and it should have only 2 values if you are going to use the Performance(Binominal Classification) operator. If you look at any of the sample processes using this operator it will show you the proper setup.
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F-score is one of the performance metric options in the Performance(Binominal Classification) operator, listed as f-measure in the options panel.
The label is the attribute that you are trying to predict. I am not sure whether you want it to be "Created-At" or not. And it must also be set to type nominal and it should have only 2 values if you are going to use the Performance(Binominal Classification) operator. If you look at any of the sample processes using this operator it will show you the proper setup.