NLTK is a platform for building Python programs to work with human language data that provides interfaces to corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an active discussion forum.
Customer Reviews
Pratik N.
Advanced user of NLTKNLTK has plethora of tools to clean and pre-process your text data. I cannot imagine how many hours it would take to sit and manually clean the text data if it wasn't the amazing in-built of NLTK. I would say NLTK has made life of Data Scientists easy.
Some of the functionalities like Lemmatization is pretty slow when corpus size is large. So, I have to adjust with stemming. Also, spelling correction functionality doesn't perform that well for SMS language. It would be amazing if the support is extended to identify the words in their short-form.
I have used this library primarily for text cleaning in the pre-processing stage and feature extraction before building ML model. While working on Hackathon problems, I tend to experiment with various functionalities of NLTK toolkit for effective processing of the text data. The best part is most of these tools offered by NLTK is quiet easy to implement, mostly can be achieved with a single line of code. Whenever I am stuck, I refer the official NLTK website and public forums and I always able to find the workaround.
