title: Text Classification
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type: community
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group: Natural Language Processing
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order: 2
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image: /static/templates/text-classification.png
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details: |
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<h1>Classify text document</h1>
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<dl>
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<dt>Industry Applications</dt>
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<dd>social media monitoring, customer feedback analysis, product reviews, brand sentiment tracking, market research, political sentiment, news sentiment, e-commerce reviews, customer satisfaction, social listening, reputation management, survey analysis</dd>
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<dt>Associated Models</dt>
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<dd>BERT, RoBERTa, DistilBERT, Support Vector Machine, Naive Bayes, XGBoost</dd>
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<dt>Domain Terminology</dt>
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<dd>NLP, sentiment analysis, opinion mining, brand monitoring, emotion detection, review analysis</dd>
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</dl>
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config: |
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<View>
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<Text name="text" value="$text"/>
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<View style="box-shadow: 2px 2px 5px #999;
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padding: 20px; margin-top: 2em;
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border-radius: 5px;">
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<Header value="Choose text sentiment"/>
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<Choices name="sentiment" toName="text"
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choice="single" showInLine="true">
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<Choice value="Positive"/>
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<Choice value="Negative"/>
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<Choice value="Neutral"/>
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</Choices>
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</View>
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</View>
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<!-- {
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"data": {"text": "This is a great 3D movie that delivers everything almost right in your face."}
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} -->
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