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Gensim vs Plasticity: What are the differences?
Developers describe Gensim as "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. On the other hand, Plasticity is detailed as "APIs for human-like natural language interfaces". Today's personal assistants and conversational interfaces fail to handle variations in a user's wording or multiple requests in one sentence. We take a language-based semantic approach to handle complex dialogue.
Gensim and Plasticity belong to "NLP / Sentiment Analysis" category of the tech stack.
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.