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Natural Language Processing with Python and NLTK

Master the fundamentals of text processing, feature extraction, and building NLP models using Python's key libraries.

Introduction

Program Overview

Covers tokenization, stemming, sentiment analysis, text classification, and introduction to transformer models.
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Program Specifications

Language:

Python

Libraries:

NLTK, SpaCy, Scikit-learn, TensorFlow/PyTorch

Learning OutcomesAfter successful completion, participants will be able to:
Pre-process raw text data efficiently using NLTK and SpaCy.
Build and evaluate text classification models.
Understand the architecture of simple transformer models (e.g., BERT/GPT basics).
Course Modules
Module 1: Text Preprocessing (Tokenization, POS Tagging)
Module 2: Feature Engineering (TF-IDF, Word Embeddings)
Module 3: Text Classification and Sentiment Analysis
Module 4: Sequence Models and Introduction to Transformers

Natural Language Processing with Python and NLTK

Upcoming Training Sessions

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Natural Language Processing with Python and NLTK

26 November 2025 to 28 November 2025

2 Days

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Natural Language Processing with Python and NLTK

23 November 2023 to 25 November 2023

2 Days

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Natural Language Processing with Python and NLTK

16 December 2025 to 26 December 2025

10 Days

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Natural Language Processing with Python and NLTK

26 November 2026 to 28 November 2026

2 Days

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Natural Language Processing with Python and NLTK

16 December 2026 to 26 December 2026

10 Days

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