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Gensim Review

3

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Very good

Revainrating 4.5 out of 5Β Β 
RatingΒ 
4.7
Artificial Intelligence, Conversational Intelligence

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Description of Gensim

Gensim is a Python library that analyze plain-text documents for semantic structure and retrieve semantically similar document.

Reviews

Global ratings 3
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    2
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Type of review

Revainrating 5 out of 5

A great library with good performance

I really like this tool because it can be used in real time, also I can use it in my mobile phone. It's very convenient to use. The most important thing is that it has an easy way of adding new terms or words. I don't have any dislikes about this software. I recommend using this software because it is very useful and powerful. This software helps me in many ways, as I work in IT services we need to read large amounts of data and information, in order to do this, I use this software so that I…

Pros
  • Easy interface
  • Powerful library
  • Can analyze text with ease.
  • Has great support team if you face issues during installation process.
  • Allows users without coding experience (like myself)
Cons
  • Mostly okay, but...

Revainrating 5 out of 5

Great library for creating and training various text vector representations

It's very easy to use, it has all necessary modules in one place (word2vec/GloVe), so you don't have any problems with installation or compatibility issues - everything works out of box! The only drawback I see here are some minor bugs from time to time when running my scripts using python API which could be fixed if there were enough resources available at this moment. If your project needs word embeddings then definitely take into account gensims package because they provide them without…

Pros
  • Also code examples provided by authors helped us alot while building new algorithms
Cons
  • Not the best

Revainrating 4 out of 5

Fastest Python Library For Text Analysis

It's easy to understand, simple API with good documentation (which makes it fun), I like how fast it runs compared to other libraries in python such as gmpy2 or spacy which are slower than this one by far when using tokenization etc.. There aren't many downsides of course but if you need very accurate text analysis then maybe try something else instead since its not great at what they claim their doing! What i'm trying to do right now is create an auto corrector system where every word can be…

Pros
  • Easy integration
  • Good Documentation & Help file.
  • Fast Processing Speed(for big data)
  • Great User ExperienceDesign/Usability