Learn NLP topic modelling in Python

Course outline

NLP - Topic Modeling:-

- Topic Modeling Overview

- Latent Dirichlet Allocation

- Non-negative Matrix Factorization

Prerequisite knowledge

Python Programming Knowledge

Basic Natural Language Processing (NLP) Knowledge

Learning outcomes

This session will expand the learners knowledge by building on a more complex subject matter, Topic Modeling, used to detect overall concepts and topics from textual data.

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)- Semantics & Sentiment Analysis

1.25 hours session

Deep Learning - Natural Language Processing (NLP)

3 hours session

Natural Language Processing (NLP) - Text Summarization

1.25 hours session

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