Professional Trader

NLP for Text Processing

Overview

Master Natural Language Processing techniques to analyze, process, and interpret text data using Python and deep learning frameworks.

  • 4 Hours 35 Hours of Learning
  • Learners 0.9K+ Learners
  • GST Derivatives 55,000+ GST

What You Will Learn

NLP fundamentals Text preprocessing steps Tokenization methods Named entity recognition Part-of-speech tagging Sentiment analysis basics Text classification Topic modeling

Skills You Will Learn

Skills
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    Python NLP coding

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    Deep learning for text

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    Building chatbots

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    Using word embeddings

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    Model fine-tuning

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    Transfer learning for NLP

Course Key Highlights

  • Learn text preprocessing and tokenization techniques
  • Implement NER and part-of-speech tagging models
  • Build sentiment analysis and classification systems
  • Work with Word2Vec, GloVe, and FastText embeddings
  • Apply topic modeling with LDA and NMF methods
  • Develop chatbot applications using deep learning
  • Optimize NLP models via transfer learning

Course Time

Includes:
  • Time

    Self-paced
    Modules

  • Time

    Case studies

  • Time

    Quizzes & assessments

  • Time

    35 Hours of Learning

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NLP for Text Processing

Leverage NLP and deep learning to extract insights from text data and build AI-driven trading tools.

Key Highlights:

  • Fundamentals of NLP, text preprocessing, tokenization
  • NER, POS tagging & language parsing
  • Sentiment analysis & classification models
  • Word embeddings: Word2Vec, GloVe, FastText
  • Topic modeling with LDA and NMF
  • Build chatbots & fine-tune NLP models
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Duration: 2 Weeks

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Tools: Excel, Solver, Power Query

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FAQs

What programming language will be used in this course?

The course uses Python for implementing NLP techniques and models.

Does the course include deep learning-based NLP methods?

Yes, you will learn to use deep learning frameworks for advanced NLP applications.

Will I work on practical projects during the course?

Yes, the course includes case studies and projects to apply your learning.

Does the course cover chatbot development?

Yes, building chatbot applications using NLP and deep learning is part of the curriculum.

Are topic modeling techniques included?

Yes, the course covers topic modeling methods like LDA and NMF.

Infra

Advance your career with industry-focused NLP skills for real-world text processing challenges.

Enroll and Start Today

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