Online Course on Natural Language Processing with industry defined use cases | NLP Tutorial

Course Duration:

20 to 25 Days based on students interaction during the live session

Medium: Online

Course Fee: 2000 INR


No, we start from the very basic.

NLP Introduction

  • Types of problems solved using NLP
  • Working with Text
  • Regular Expressions for pattern searching in text
  • File Parsers

Introducing Text Processing concepts and Techniques

  • Tokenization
  • Lemmatization
  • Stop Words
  • Punctuations
  • Phrase Matching
  • Named Entity Recognition – NER
  • Parts of Speech Tagging – POS
  • Topic Modelling

NLP Important Libraries Introduction

  • Installation and Environment setup
  • NLTK
  • spaCy
  • coreNLP
  • Gensim

Text Processing using spaCy

  • Perform Text Pre-processing using spaCy:
  • Tokenization in detail
  • Lemmatization
  • Stop word removal
  • Punctuation removal
  • Phrase Matching using spaCy

Parts of Speech Tagging and Named Entity Recognition

  • POS using spacy
  • POS visualization
  • NER using spaCy
  • NER visualization

Feature Extraction Techniques

  • Count Vectorizer
  • Tf-idf vectorizer
  • Word2vec

Text classification Project

Text classification project using spacy and sckit-learn

Semantics and sentiment analysis Project

Sentiment analysis using NLTK

Topic Modelling

  • Overview of Topic Modelling
  • Latent Dirchlet Allocation Overview
  • LDA with Python
  • Matrix Factorization
  • Topic Modelling Project

Deep Learning for NLP

  • Introduction to DL for NLP
  • Basic Perceptron Model
  • Neural Networks know-how
  • Understanding keras


  • Overview of Recurrent Neural Network
  • Intro to Text generation using LSTM

Project- Text generation

Text generation using LSTM and Keras in python

Chat Bot Implementation

Chat bot implementation from scratch


  • Introduction to Transformers
  • Transformers based models

Introduction to pre-trained models for NLP tasks

  • BERT and its variants
  • GPT and its variant
  • Huggingface
  • AutoNLP
  • AllenNLP

Please feel free to contact us by filling the below contact form.

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