Learn Stemming and Lemmatization in Python

Course outline

Stemming & Lemmatization:-

- Overview of Stemming

- Stemming with NLTK

- Stemming Methods (Porter, Lancaster & Snowball)

- Overview of Lemmatization

- Lemmatization with NLTK

- Part-of-Speech & Lemmatization Precision

Prerequisite knowledge

Python Programming Knowledge

Basic Natural Language Processing (NLP) Knowledge

Learning outcomes

Learners will get familiar with two popular concepts of NLP - Stemming which uses the stem of the word & Lemmatization which uses the context in which the word is being used, both are used to analyze the meaning behind the word.

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 Summarization

1.25 hours session

Deep Learning - Natural Language Processing (NLP)

3 hours session

Natural Language Processing (NLP)- Semantics & Sentiment Analysis

1.25 hours session

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