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Natural Language Processing (NLP)

Unlock the power of language with our Best Natural Language Processing (NLP) Course in Bangalore
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Course Duration: 60h
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About Course

This comprehensive program will equip participants with the knowledge and skills to understand, analyze, and generate human language using advanced AI techniques. Whether you’re a seasoned professional or a newcomer to the field, this course will empower you to harness the capabilities of NLP and drive innovation in various industries. Our Natural Language Processing (NLP) Course provides a comprehensive overview of NLP’s key concepts and techniques, preparing participants to tackle real-world challenges and drive innovation in language-related tasks. By the end of the program, you’ll be equipped with the skills and confidence to develop NLP solutions that deliver meaningful insights and value.

What you’ll learn

     Foundations of NLP: Gain a deep understanding of the foundational concepts and techniques in natural language processing, including text preprocessing, tokenization, and text normalization.

     Statistical and Machine Learning Methods: Learn how to apply statistical and machine learning techniques to solve NLP tasks such as text classification, sentiment analysis, and named entity recognition.

     Deep Learning for NLP: Explore advanced deep learning models for NLP, including recurrent neural networks (RNNs), long short-term memory (LSTM) networks, and transformers, and learn how to apply them to tasks such as sequence labeling and machine translation.

     Semantic Analysis: Understand how to extract semantic meaning from text using word embeddings, semantic similarity, and topic modeling techniques.

     Syntax and Parsing: Learn about syntactic analysis and parsing techniques, including part-of-speech tagging, dependency parsing, and constituency parsing.

     Practical Applications: Apply your knowledge to real-world NLP projects across various domains, including sentiment analysis, chatbots, question-answering systems, and more.

Requirements

  • To excel in our Natural Language Processing (NLP) Course, participants should have a strong mathematics, statistics, and programming background.
  • Familiarity with Python programming language and basic machine learning concepts is recommended but optional.
  • A passion for language and a desire to explore the possibilities of NLP are essential prerequisites.

Course Content

Foundations of NLP (15 hours)

  • Introduction to Natural Language Processing
  • Text Preprocessing Techniques
  • Tokenization and Sentence Segmentation
  • Stopword Removal and Stemming
  • Named Entity Recognition (NER)
  • Part-of-Speech (POS) Tagging
  • Word Embeddings (Word2Vec, GloVe)
  • Text Similarity and Semantic Analysis

Statistical and Machine Learning Models for NLP (15 hours)

Deep Learning Techniques for NLP (15 hours)

Practical Applications and Projects in NLP (15 hours)

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Course level:Intermediate
Course Duration: 60h
Enrolled:0
Last Updated:March 8, 2024

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