NLTK Training Online

SKU: 3333
9 Lesson
|
35 Hours
igmGuru provides the best NLTK (Natural Language Toolkit) training online worldwide. This comprehensive program covers essential Natural Language Processing (NLP) concepts, stemming and lemmatization, part-of-speech tagging, and text classification using Python and NLTK. Our NLTK course curriculum is designed by industry experts with 10+ years of experience in Python, NLP, and data analytics. Enroll in our NLTK certification course to gain hands-on experience with real-world text datasets, industry-relevant NLP techniques, and building scalable text analysis solutions.

Overview

Prerequisites

  • Basic Python programming
  • Understanding of strings, lists, dictionaries
  • Ability to use pip and install libraries
  • Familiar with Python IDEs / Jupyter Notebook
  • Basic text and grammar concepts
  • Intro-level statistics & probability (optional)
  • Awareness of NLP concepts (optional)

What You Will Learn

  • Text loading and preprocessing
  • Tokenization (words & sentences)
  • Stopword removal
  • Stemming and lemmatization
  • Part-of-Speech (POS) tagging
  • Named Entity Recognition (NER)
  • Text normalization and cleaning
  • Working with NLTK corpora
  • Frequency distribution and text analysis
  • Basic text classification techniques

Benefits of Taking NLTK Training

  • Strong foundation in Natural Language Processing (NLP)
  • Ability to analyze and process text data
  • Hands-on experience with real-world text datasets
  • Improved Python text-handling skills
  • Understanding of linguistic patterns in data
  • Readiness to learn advanced NLP and Machine Learning techniques
  • Useful skills for data science, AI, and analytics roles

Key Features

Course Curriculum

1. What is NLTK
2. NLTK architecture
3. Installing NLTK
4. NLTK data packages
1. Text objects in NLTK
2. Tokenization
3. Sentence segmentation
4. Text normalization
1. NLTK corpora overview
2. Accessing and exploring corpora
3. Frequency distributions
4. Conditional frequency distributions
1. Stopword handling
2. Stemming techniques
3. Lemmatization
4. Regular expressions in NLTK
1. POS tagging concepts
2. Tag sets
3. Rule-based taggers
4. Statistical taggers
5. Tagger evaluation
1. Chunking
2. Chinking
3. Named Entity Recognition (NER)
4. Tree representations
1. Classification overview
2. Feature extraction
3. Naive Bayes classifier
4. Training and testing classifiers
1. Context-free grammars
2. Parsing techniques
3. Parse trees
4. Syntactic ambiguity
1. Building NLP pipelines with NLTK
2. Working with real text datasets
3. Mini projects using NLTK
Talk To Us

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Course Fees

Online Class Room Program

US $ 799.00
100% Money Back Guarantee
  • Duration : 35 Hrs
  • Plus Self Paced

Classes Starting From

  • Fast Track Batch 28 May 2026
  • Weekday Batch 01 Jun 2026
  • Weekend Batch 30 May 2026

Corporate Training

Corporate Training
  • Customized Training Delivery Model
  • Flexible Training Schedule Options
  • Industry Experienced Trainers
  • 24x7 Support

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Natural Language Toolkit Certification

After completing the NLTK (Natural Language Toolkit) Training Course and hands-on exercises, learners receive a Course Completion Certificate from igmGuru. This certification validates your ability to implement and apply Natural Language Processing techniques using Python and NLTK, including text preprocessing, corpus analysis, and text classification. It demonstrates your readiness to work on real-world NLP and text analytics projects, build practical language-processing solutions, and apply NLTK effectively in data science and AI-driven applications.

Natural Language Toolkit Certification

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