nltk is a powerful Windows tool that allows you to automatically process any text. There are instruments for splitting the source information into sentences, paragraphs and larger linguistic units. Moreover, it is possible to assign tags like noun, verb, adjective or adverb to individual words.

Installation

Users are instructed to set up the library via Pip or another similar package management application. The next step is to import nltk into the Python code by running the corresponding command in the main development environment.

Text analysis

Users can chunk the data into coherent phrases for easier understanding and translation. Tools for transforming any text to a tree, graph or another syntactic structure are included as well.

There is support for several modern machine learning algorithms. You are able to perform common NLP tasks like text classification and sentiment analysis using AI assistance.

Included modules

The Tokenize section of the library provides functions for classifying text objects. Additionally, users can utilize the Tag module for organizing and managing source documents.

Features

provides a Python library for natural language processing;
free to download and use;
it is possible to automatically split source text into words, phrases and sentences;
sup[ports machine learning and powerful artificial intelligence algorithms;
compatible with all modern versions of Windows.