NLTK

(2)
4.5 out of 5 stars

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.

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NLTK review by Riya T.
Riya T.
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"Natural Language Processing Eased"

What do you like best?

It is open-source and has almost all Natural Language Processing algorithms available. One can get data from stopwords to wordnets. One can carry out simple tasks like tokenizing to complex tasks like stemming. It has a large community support. Also it supports multiple languages.

What do you dislike?

I am using it from long time and it has been my only option while carrying out NLP with Python. I have no dislikes for this great library.

Recommendations to others considering the product

It is easy to learn but still if you want you can follow this tutorial : https://www.youtube.com/watch?v=FLZvOKSCkxY , it has helped me a lot personally.

What business problems are you solving with the product? What benefits have you realized?

Carrying out NLP tasks and using same in projects we develop in our organisation.

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NLTK review by G2 Crowd User in Consumer Services
G2 Crowd User in Consumer Services
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"Good all around tool."

What do you like best?

NLTK makes it easy for me to create grammar rules in order to find specific structures in my text data. The parsers, corpuses, and taggers that it provide are essential in my ML pipeline.

What do you dislike?

Sometimes creating the rules that you want can be a pain, but that's just part of learning the tool.

What business problems are you solving with the product? What benefits have you realized?

I'm using NLTK to help preprocess text data in our machine learning pipelines. It has helped to speed up our process tremendously.

What Natural Language Processing (NLP) solution do you use?

Thanks for letting us know!
Kate from G2 Crowd

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