title: Text Classification
type: community
group: Natural Language Processing
order: 2
image: /static/templates/text-classification.png
details: |
  <h1>Classify text document</h1>
  <dl>
    <dt>Industry Applications</dt>
    <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>
    <dt>Associated Models</dt>
    <dd>BERT, RoBERTa, DistilBERT, Support Vector Machine, Naive Bayes, XGBoost</dd>
    <dt>Domain Terminology</dt>
    <dd>NLP, sentiment analysis, opinion mining, brand monitoring, emotion detection, review analysis</dd>
  </dl>
config: |
  <View>
    <Text name="text" value="$text"/>
    <View style="box-shadow: 2px 2px 5px #999;
                 padding: 20px; margin-top: 2em;
                 border-radius: 5px;">
      <Header value="Choose text sentiment"/>
      <Choices name="sentiment" toName="text"
               choice="single" showInLine="true">
        <Choice value="Positive"/>
        <Choice value="Negative"/>
        <Choice value="Neutral"/>
      </Choices>
    </View>
  </View>

  <!-- {
    "data": {"text": "This is a great 3D movie that delivers everything almost right in your face."}
  } -->