NLP in Python

Python has become very popular in recent years, by combining the power of general-purpose programming languages with the use of specific domain languages, such as MATLAB and R (designed for mathematics and statistics). It has different libraries for data loading, visualization, NLP, image processing, statistics, and more. Python has the most powerful libraries for text processing and machine learning algorithms.

Natural Language Toolkit (NLTK)

NLTK is the most common kit of tools for working with human language data in Python. It includes a set of libraries and programs for processing natural language and statistics. NLTK is commonly used as a learning tool and for carrying out research.

This library provides interfaces and methods for over 50 corpora and lexical resources. NLTK is capable of classifying text and performing other functions, such as tokenization, stemming (extracting the stem of a word), tagging (identifying the tag of a word, such as person, city…), and parsing...