Tagging & Named Entity Recognition in NLP

Course outline

This session covers two branches of Natural Language Processing (NLP):-

(1) Part of Speech Tagging

(2) Named Entity Recognition

Prerequisite knowledge

Python Programming Knowledge

Basic Natural Language Processing (NLP) Knowledge

Learning outcomes

Learners will be able to use Part of Speech Tagging to process raw text files automatically and understand Named Entity Recognition in NLP.

Software / Hardware requirements

Anaconda Distribution

Install the ‘64-bit Graphical installer’

Python

(For both Windows & macOS)

Sugggested link:

https://www.anaconda.com/products/individual

Natural Language Processing (NLP) - Text Classification

2 hours session

Natural Language Processing (NLP) - Topic Modeling

2 hours session

Natural Language Processing (NLP)- Semantics & Sentiment Analysis

1.25 hours session

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