ccmaymay/word2vec
word2vec, commented
This tool helps you understand the relationships between words in a large collection of text by converting them into numerical vectors. You input a text corpus and specify parameters like vector size; the output is a collection of numerical word vectors that capture semantic similarities. Data scientists, computational linguists, or researchers working with natural language processing can use this to prepare text for further analysis.
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Use this if you need to generate numerical representations (embeddings) of words from a text corpus to identify semantic relationships and use them in machine learning models.
Not ideal if you're looking for a high-level Python library for word embeddings without diving into the underlying C code and its specific implementation details.
Stars
8
Forks
1
Language
C
License
Apache-2.0
Category
Last pushed
Feb 04, 2020
Commits (30d)
0
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