NLP Practice Cases

This section provides a collection of Natural Language Processing (NLP) practice cases. These cases are designed to help you understand and apply various NLP techniques in real-world scenarios.

• Case 1: Sentiment Analysis

  • Analyze the sentiment of customer reviews to gauge customer satisfaction.
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    Sentiment Analysis

• Case 2: Named Entity Recognition (NER)

  • Identify and classify named entities in text, such as names, locations, and organizations.
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    NER

• Case 3: Text Classification

  • Classify text into predefined categories, such as spam detection or sentiment analysis.
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    Text Classification

• Case 4: Machine Translation

  • Translate text from one language to another, enabling cross-lingual communication.
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    Machine Translation

For more information and resources on NLP, please visit our NLP Resources.