chao-ji/tf-word2vec
TensorFlow implementation of word2vec
This tool helps you analyze large collections of text documents to understand the meaning of words based on their context. You provide raw text files, and it produces a list of words with their numerical representations (embeddings) and a vocabulary list. It's ideal for data scientists, natural language processing researchers, or anyone working with text analysis.
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Use this if you need to transform raw text into numerical data that captures semantic relationships between words for further analysis or machine learning tasks.
Not ideal if you need a pre-trained word embedding model or if you're not comfortable with command-line tools and basic Python scripting.
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Python
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Last pushed
Jun 17, 2020
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