🎉Community Raffle - Win $25

An exclusive raffle opportunity for active members like you! Complete your profile, answer questions and get your first accepted badge to enter the raffle.
Join and Win

"How to USE Performance Operator on Text Mining Root Process"

User: "MUNISHVIRANG"
New Altair Community Member
Updated by Jocelyn
Can you Suggest which performance operator work fine for my text mining project.I'm looking for a performance operator which can give me a measure of accuracy and precision for my classification model.

Below is the XML code:


<operator name="Root" class="Process" expanded="yes">
    <operator name="OperatorChain" class="OperatorChain" expanded="yes">
        <operator name="TextInput" class="TextInput" expanded="no">
            <list key="texts">
              <parameter key="Price" value="C:\Documents and Settings\munish.virang\Desktop\XMX\BARCLAYSBANK\PRICE"/>
              <parameter key="Process" value="C:\Documents and Settings\munish.virang\Desktop\XMX\BARCLAYSBANK\PROCESS"/>
              <parameter key="Product" value="C:\Documents and Settings\munish.virang\Desktop\SAMPLE_DATA_SET\BARCLAYSBANK\PRODUCT"/>
              <parameter key="Promotion" value="C:\Documents and Settings\munish.virang\Desktop\SAMPLE_DATA_SET\BARCLAYSBANK\PROMOTION"/>
            </list>
            <parameter key="output_word_list" value="C:\Documents and Settings\munish.virang\Desktop\XMX\BARCLAYSBANK\words.list"/>
            <list key="namespaces">
            </list>
            <parameter key="create_text_visualizer" value="true"/>
            <operator name="StringTokenizer" class="StringTokenizer">
            </operator>
            <operator name="EnglishStopwordFilter" class="EnglishStopwordFilter">
            </operator>
            <operator name="TokenLengthFilter" class="TokenLengthFilter">
                <parameter key="min_chars" value="3"/>
            </operator>
            <operator name="LovinsStemmer" class="LovinsStemmer">
            </operator>
        </operator>
        <operator name="LibSVMLearner" class="LibSVMLearner">
            <list key="class_weights">
            </list>
            <parameter key="calculate_confidences" value="true"/>
        </operator>
        <operator name="ModelWriter" class="ModelWriter">
            <parameter key="model_file" value="C:\Documents and Settings\munish.virang\Desktop\XMX\BARCLAYSBANK\SVM.mod"/>
        </operator>
    </operator>
    <operator name="OperatorChain (2)" class="OperatorChain" expanded="yes">
        <operator name="TextInput (2)" class="TextInput" expanded="no">
            <list key="texts">
              <parameter key="PRODUCT" value="C:\Documents and Settings\munish.virang\Desktop\XMX\BARCLAYSBANK\PRODUCT"/>
            </list>
            <parameter key="input_word_list" value="C:\Documents and Settings\munish.virang\Desktop\XMX\BARCLAYSBANK\words.list"/>
            <list key="namespaces">
            </list>
            <parameter key="create_text_visualizer" value="true"/>
            <operator name="StringTokenizer (2)" class="StringTokenizer">
            </operator>
            <operator name="EnglishStopwordFilter (2)" class="EnglishStopwordFilter">
            </operator>
            <operator name="TokenLengthFilter (2)" class="TokenLengthFilter">
                <parameter key="min_chars" value="3"/>
            </operator>
            <operator name="LovinsStemmer (2)" class="LovinsStemmer">
            </operator>
        </operator>
        <operator name="ModelLoader" class="ModelLoader">
            <parameter key="model_file" value="C:\Documents and Settings\munish.virang\Desktop\XMX\BARCLAYSBANK\SVM.mod"/>
        </operator>
        <operator name="ModelApplier" class="ModelApplier">
            <list key="application_parameters">
            </list>
        </operator>
    </operator>
</operator>

Find more posts tagged with

Sort by:
1 - 1 of 11
    User: "fischer"
    New Altair Community Member
    Hi,

    why can't you use one of the regular performance evaluators? Check ClassificationPerformance, BinominalPerformance, Performance, and PerformanceEvaluator.

    Besides, I am not sure why you are choosing such a complicated process setup. There is no need to save your model if all you want to do is apply it on a different data set later. You probably also want to wrap your evaluation into a XValidation. Have a look at the samples.

    Best,
    Simon