Gensim vs Google Cloud Natural Language API: What are the differences?

What is Gensim? A python library for Topic Modelling. It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.

What is Google Cloud Natural Language API? Derive insights from unstructured text using Google machine learning. You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.

Gensim and Google Cloud Natural Language API can be primarily classified as "NLP / Sentiment Analysis" tools.

Gensim is an open source tool with 9.65K GitHub stars and 3.52K GitHub forks. Here's a link to Gensim's open source repository on GitHub.

According to the StackShare community, Google Cloud Natural Language API has a broader approval, being mentioned in 11 company stacks & 7 developers stacks; compared to Gensim, which is listed in 3 company stacks and 5 developer stacks.