Complete NLTK Cheat Sheet for NLP Beginners
In today’s AI driven world, NLP (natural language processing) plays an important role in enabling machines to understand human language. NLTK is one of the most popular python libraries of NLP.
NLTK is widely used in:
- Language analysis
- Text processing
- Building NLP based application.
Table of Contents:
- Introduction
- Library Installation
- Key Features
- Implementation
- Conclusion
What is NLTK?
NLTK is a powerful and open-source python library that helps user to work with human language data.
NLTK provides:
- Large collection of text datasets
- Easy to use interface
- Tool for parsing, tagging, tokenization, classification and more
Installation: –
User have to first download python from Python official website python.org and install it, don’t forget to add path in environment variable.
After installation of python, user can install nltk library from anaconda or command prompt.
“pip install nltk”“NLTk Python library tutorial”
Application: –
- News Classification
- Building Chatbots
- Spam Detection
- Search Engines
- Sentiment Analysis
Advantages: –
- Rich Documentation
- Large datasets included
- Beginner Friendly
Limitations: –
- Not ideal for deep learning task
- Slower than modern library spaCy
Conclusion: –
If you want to enter in the world of NLP then NLTK Python is best starting point, provides a strong base for understanding how human language process by machines.
If you want to begin then start with NLTK, once you’re good then you can move ahead to advance tools like transformers or spaCy.
- You are a beginner
- Learning NLP concepts
- Doing text preprocessing tasks
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