Curriculum

7 Topics
Training Overview Video
Getting Started with Internshala Trainings
Introduction and applications of NLP
Setting up your system
Working with text data
Introduction to Regular Expressions
Implementing Regular Expressions

13 Topics
Introduction to Text Pre-processing
Tokenization
Stopword Removal
Text Normalization
Exploring Text Data
Introduction to Information Extraction
Part-of-Speech (POS) Tagging
Dependency Parsing
Named Entity Recognition (NER)
Relation Extraction
Project: United Nations Debate Analysis
Introduction to String Similarity
Different ways to calculate String Similarity

7 Topics
Introduction to Information Retrieval
Approached to Information Retrieval
Evaluation of Information Retrieval model
Introduction to Ranked Retrieval
Approached to Ranked Retrieval
Evaluation of ranked retrieval models
Project: Ranked Retrieval

6 Topics
Introduction and applications of Language Modeling
Probabilistic Language Modeling
Evaluation of Language Modeling
Project: Next word recommender system
Introduction to Spelling Correction
Project: Auto Correct

4 Topics
Introduction to Feature Engineering for Text Data
Text Feature Engineering Techniques
Text Representation
Word Embeddings

6 Topics
Introduction to Text Classification
Hand coded rules for text classification
Supervised machine learning for text classification
Project: SMS spam classification
Project: Multi class text classification
Project: Multi label text classification

2 Topics
Conclusion Video
Twitter Sentiment Analysis

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