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

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8.0/10 (Expert Score) ★★★★★
Product is rated as #42 in category Natural Language Understanding (NLU) Software
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Gensim is a Python library that analyze plain-text documents for semantic structure and retrieve semantically similar document.

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Customer Reviews

Gensim Reviews

User in Education Management

Advanced user of Gensim
★★★★★
Word embeddings made easy

What do you like best?

Easy to use interface. Python makes it very easy to work with.

What do you dislike?

Would have liked to access more underlying code to understand their process.

Recommendations to others considering the product:

Read documentation well and figure out what methods are most relevant to you. Gensim can do many types of text analysis and implement word embeddings. Knowing what exactly is needed for your task is the most important part. After that Gensim can help you implement it.

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

Making word2vec embeddings for a research project. Made word2vec very accessible. Was also very efficient and could handle large text corpora easily.

Review source: G2.com

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