Natural Language Toolkit (NLTK) Training
Level
IntermediateDuration
16h / 2 daysDate
Individually arrangedPrice
Individually arrangedNatural Language Toolkit (NLTK) Training
The NLTK training is an intensive two-day course focused on the practical use of the NLTK library for Natural Language Processing (NLP). The program is designed so that 80% of the time is dedicated to workshops and 20% to theory. Participants will gain skills in text analysis, building NLP models, and automating language processing using NLTK.
What You Will Learn
- Install and configure NLTK for NLP
- Perform basic text operations: tokenization, stopword removal, text normalization
- Carry out syntactic analysis, named entity recognition (NER), and sentiment analysis
- Build and train text classification models with NLTK
Requirements
- Basic knowledge of Python programming
- Basic understanding of data processing
- Ability to work with Python libraries
Who is this training for?
Programmers and data engineers wanting to expand into NLP-
Data scientists and analysts interested in text processing and analysis
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IT specialists looking to use NLTK for language processing automation
Training Program
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Day 1: Introduction to NLP and NLTK Basics
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Fundamentals of NLP
- Introduction to NLP: definitions and applications
- Overview of NLP tools and techniques
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Introduction to NLTK
- Installation and configuration
- Overview of core NLTK modules and functions
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Basic Operations in NLTK
- Tokenization: splitting text into words and sentences
- Stopword removal and text normalization
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Text Analysis with NLTK
- Implementing basic text processing operations
- Analyzing simple text datasets
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Day 2: Advanced Techniques and Practical Applications
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Syntactic and Semantic Analysis
- Part-of-speech (POS) tagging
- Parsing and dependency analysis
- Parse trees
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Named Entity Recognition (NER) and Sentiment Analysis
- Techniques for recognizing named entities
- Sentiment analysis methods
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Building NLP Models with NLTK
- Creating and training text classification models
- Using NLTK corpora to build NLP models
