Text-Processing

(2)
4.3 out of 5 stars

Text-Processing is a sentiment analysis, stemming and lemmatization, part-of-speech tagging and chunking, phrase extraction and named entity recognition.

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Showing 2 Text-Processing reviews
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Text-Processing review by G2 Crowd User in Information Technology and Services
G2 Crowd User in Information Technology and Services
Review Source

NLTK

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What do you like best?

Integrating NLTK with R and Python which helped in doing proper text mining

What do you dislike?

documentation of the product lacks many important things which can be achieved and present in real world.

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

Used it to analyze log files. Found it easy to use NLTK packages and functions.

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Text-Processing review by G2 Crowd User in Financial Services
G2 Crowd User in Financial Services
Review Source

Easiest tool to use

Reviewed On
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What do you like best?

Python +NLTK is a very light weight framework for NLP

What do you dislike?

The outreach of library is good but not great. It should support UMLS dictionaries and other functionalities of cTAKES library

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

Mostly customer reviews and feedback.

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Kate from G2 Crowd

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