- Natural Language Toolkit - Discussion
- Natural Language Toolkit - Useful Resources
- Natural Language Toolkit - Quick Guide
- Natural Language Toolkit - Text Classification
- Synonym & Antonym Replacement
- Natural Language Toolkit - Word Replacement
- Stemming & Lemmatization
- Looking up words in Wordnet
- Training Tokenizer & Filtering Stopwords
- Natural Language Toolkit - Tokenizing Text
- Natural Language Toolkit - Getting Started
- Natural Language Toolkit - Introduction
- Natural Language Toolkit - Home
自然语言工具包
- 自然语言工具箱——改造树木
- 自然语言工具箱——改造楚克
- Chunking & Information 排外
- 自然语言工具箱——包装
- 自然语言工具包 - 更多国家 Taggers
- 自然语言工具箱——将Taggers混为一谈
- 自然语言工具箱——Unigram Tagger
- 部分Speech(POS)基本原理
- Corpus Readers and Customs Corpora
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
![Natural Language Toolkit Tutorial](/natural_language_toolkit/images/natural-language-toolkit.jpg)
Natural Language Toolkit Tutorial
Language is a method of communication with the help of which we can speak, read and write. Natural Language Processing (NLP) is the sub field of computer science especially Artificial Intelpgence (AI) that is concerned about enabpng computers to understand and process human language. We have various open-source NLP tools but NLTK (Natural Language Toolkit) scores very high when it comes to the ease of use and explanation of the concept. The learning curve of Python is very fast and NLTK is written in Python so NLTK is also having very good learning kit. NLTK has incorporated most of the tasks pke tokenization, stemming, Lemmatization, Punctuation, Character Count, and Word count. It is very elegant and easy to work with.
Audience
This tutorial will be useful for graduates, post-graduates, and research students who either have an interest in NLP or have this subject as a part of their curriculum. The reader can be a beginner or an advanced learner.
Prerequisites
The reader must have basic knowledge about artificial intelpgence. He/she should also be aware of basic terminologies used in Engpsh grammar and Python programming concepts.
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