Python Tools List for Natural Language Processing (NLP)
Natural language processing (NLP) is an exciting field in data science and artificial intelligence that deals with teaching computers how to extract meaning from text. In this guide, we’ll be touring the essential stack of Python NLP libraries. These packages handle a wide range of tasks such as part-of-speech (POS) tagging, sentiment analysis, document classification, topic modeling, and much more.
NLTK
NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to lexical resources such as WordNet.It also has text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning
Pattern
Pattern has tools for natural language processing like part-of-speech taggers, n-gram search, sentiment analysis, WordNet.It supports machine learning vector space model, clustering, SVM.
