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Natural Language Processing Specialist

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Natural Language Processing Specialist — Learning Path Steps

  1. Understand the Basics of Natural Language Processing (NLP)
    • Tokenization
    • Stopwords
    • Stemming and Lemmatization
  2. Learn Programming Languages and Libraries for NLP
    • Python
    • NLTK (Natural Language Toolkit)
    • SpaCy
  3. Explore Machine Learning Algorithms for NLP
    • Naive Bayes
    • Support Vector Machines (SVM)
    • Recurrent Neural Networks (RNN)
  4. Work on NLP Projects and Kaggle Competitions
    • Sentiment Analysis
    • Named Entity Recognition (NER)
    • Text Generation
  5. Stay Updated with NLP Research and Trends
    • Transformer Models
    • Zero-shot Learning
    • Ethical Considerations in NLP