Natural Language Processing

Natural Language Processing (NLP) is a subfield of Computer Science that deals with Artificial Intelligence (AI)

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What You'll Learn

  • Learn Work with text data using the Natural Language Tool Kit
  • Learn Load and manipulate custom text data.
  • Learn Analyze text to discover, sentiment, important key words, and statistics
  • Learn
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Course Content

  • Natural Language Processing, usually shortened as NLP, is a branch of artificial intelligence that deals with the interaction between computers and humans using the natural language. The ultimate objective of NLP is to read, decipher, understand, and make sense of the human languages in a manner that is valuable..
  • The role of language models
  • Simple N-gram models.
  • Estimating parameters and smoothing
  • Evaluating language models.
  • Hidden Markov Models
  • Algorithms and EM training
  • Artificial Intelligence:
  • Pattern Recognition and Machine Learning.
  • Understanding LSTM Networks
  • Pattern Recognition and Machine Learning.
  • Efficient parsing for context-free grammars (CFGs)
  • Statistical parsing and probabilistic CFGs
  • Neural shift-reduce dependency parsing
  • Lexical semantics and word-sense disambiguation.
  • Compositional semantics.
  • Semantic Role Labeling and Semantic Parsing
  • Entity recognition and relation extraction
  • IE using sequence labeling.
  • Statistical translation, word alignment,
  • phrase-based translation,and synchronous grammars.
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  This Course includes

  Tutorials

  Articles, Videos

  Full Time Lectures

  Real Scenarios

  Project Work

  Certification of Completion

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