Gensim is a Python library that analyze plain-text documents for semantic structure and retrieve semantically similar document.
Gensim is a Python library that analyze plain-text documents for semantic structure and retrieve semantically similar document.
Customer Reviews
User in Education Management
Advanced user of GensimEasy to use interface. Python makes it very easy to work with.
Would have liked to access more underlying code to understand their process.
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.
Making word2vec embeddings for a research project. Made word2vec very accessible. Was also very efficient and could handle large text corpora easily.