Data Scientist

NLP for Text Processing

Overview

Master NLP techniques to process, analyze, and derive insights from text using Python, deep learning, and advanced modeling approaches.

  • 4 Hours 35 Hours of Learning
  • Learners 0.4K+ Learners
  • GST Derivatives 55,000+ GST

What You Will Learn

NLP fundamentals Text preprocessing Tokenization Named entity recognition Part-of-speech tagging Sentiment analysis Text classification Topic modeling Chatbot development Model optimization

Skills You Will Learn

Skills
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    Python NLP coding

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    Data cleaning

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    Feature extraction

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    Word embeddings

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    Deep learning for NLP

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    Model evaluation

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    Transfer learning

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    Conversational AI building

Course Key Highlights

  • Learn essential NLP preprocessing and tokenization methods
  • Perform entity recognition and POS tagging efficiently
  • Build sentiment analysis and classification models
  • Use advanced embeddings like Word2Vec, GloVe, FastText
  • Apply topic modeling with LDA and NMF techniques
  • Develop functional chatbot applications from scratch
  • Fine-tune NLP models using transfer learning approaches

Course Time

Includes:
  • Time

    Self-paced
    Modules

  • Time

    Assignments

  • Time

    Assessments

  • Time

    35 Hours of Learning

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  • Apply topic modeling with LDA and NMF
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