Text Summarization
What is Text Summarization? Steps involved in Summarization Applications
Text Classification
What is Text Classification? How does Text Classification works? Applications
Analysing Sentence Structure
Regular Expressions Syntax Trees Chunking and Chinking Context Free Grammars
Extracting, Cleaning and Pre-Processing Text
Tokenization Frequency Distribution Different types of Tokenizers Stemming Lemmatization Bigrams,
Text Mining
Overview of Text Mining Need of Text Mining Using NLP
Natural Language Processing (NLP)
Introduction History of NLP Study of Human Languages Ambiguity and
Python Modules – A Refresher
NumPy – Array manipulation Pandas – Data Analytics Matplotlib and
Python – A Refresher
Why Python for ML? Anaconda – Overview and Installation Using
Artifical Intelligence – Fundamentals
Introduction What is AI? Philosophy of AI Goals What contributes
