Want to see who topped the 2019 Best Software Awards?

PyNLPl

3.8
(2 reviews)

PyNLPl is a Python library for Natural Language Processing that contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model.

Work for PyNLPl?

Learning about PyNLPl?

We can help you find the solution that fits you best.

PyNLPl Reviews

Chat with a G2 Advisor
Write a Review
Filter Reviews
Filter Reviews
  • Ratings
  • Company Size
  • Industry
Ratings
Company Size
Industry
Showing 2 PyNLPl reviews
LinkedIn Connections
PyNLPl review by ANAY  P.
ANAY P.
Validated Reviewer
Review Source

"Best Natural Language Processing library for python."

What do you like best?

It's very simple to use and superbly easy to implement software for natural language processing problems.

I have been using it for the last few months and I have never looked back. Another best thing about the PyNLPL is that its open source hence no need of paying a huge amount for getting the license to use it.

And apart from that the documentation for this open source python library is updated and explained in a very good manner that makes the life of developers like me super easy.

It also works with FoLiA XML (Format for Linguistic Annotation) which is the most important feature of this library that makes me dependable on this library every day for solving NLP problem statements.

What do you dislike?

I personally didn't find any flaws in this library. By far the best Natural language processing library I have ever used for developing software for natural language processing problems.

Recommendations to others considering the product

If you are working on python to solve a natural language processing problem them PyNLPl is the library to be used. I highly recommend using this library.

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

I have been using it in my laboratory for solving natural language processing problems where I need to develop automated virtual assistants that can help a person in doing day to day simple work like turn on the lights, set alarm, answer a simple query like check the weather for a requested location, etc.

Sign in to G2 Crowd to see what your connections have to say about PyNLPl
PyNLPl review by G2 Crowd User
G2 Crowd User
Validated Reviewer
Review Source

"PyNLPI"

What do you like best?

Simple to use and implementable , open source

What do you dislike?

Open source and as a result not very reliable enterprise level.

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

Clinical Decision Support.

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

Thanks for letting us know!

There are not enough reviews of PyNLPl for G2 Crowd to provide buying insight. Below are some alternatives with more reviews:

1
Google Cloud Translation API Logo
Google Cloud Translation API
3.7
(30 reviews)
Google Translate API is a tool that provides a programmatic interface for translating an arbitrary string into any supported language.
2
NVivo Logo
NVivo
4.0
(15 reviews)
NVivo is software that supports qualitative and mixed methods research. It's designed to help organize, analyze and find insights in unstructured, or qualitative data like: interviews, open-ended survey responses, articles, social media and web content.
3
IBM SPSS Text Analytics for Surveys (IBM Stafs) Logo
IBM SPSS Text Analytics for Surveys (IBM Stafs)
3.3
(14 reviews)
IBM SPSS Text Analytics for Surveys software lets you transform unstructured survey text into quantitative data and gain insight using sentiment analysis. The solution uses natural language processing (NLP) technologies specifically designed for survey text.
4
Google Cloud Natural Language Logo
Google Cloud Natural Language
3.8
(12 reviews)
Google Cloud Natural Language API reveals the structure and meaning of text by offering machine learning models in an easy to use REST API, user can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts and to understand sentiment about product on social media or parse intent from customer conversations happening in a call center or a messaging app.
5
spaCy Logo
spaCy
4.5
(12 reviews)
spaCy is a Python NLP library that helps user get their work out of papers and into production.
6
Merlin Logo
Merlin
3.7
(11 reviews)
Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.
7
Amazon Comprehend Logo
Amazon Comprehend
4.3
(5 reviews)
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; and automatically organizes a collection of text files by topic.
8
Microsoft Bing Spell Check API Logo
Microsoft Bing Spell Check API
4.1
(5 reviews)
Microsoft Bing Spell Check API is a tool that help users correct spelling errors, recognize the difference among names, brand names, and slang, as well as understand homophones as they're typing.
Show more
Kate from G2 Crowd

Learning about PyNLPl?

I can help.
* We monitor all PyNLPl reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. Validated reviews require the user to submit a screenshot of the product containing their user ID, in order to verify a user is an actual user of the product.