lapis-zero09/compare_word_embedding
意味表現学習
This project helps analyze the meanings of words by creating numerical representations called word embeddings. It takes text data, processes it, and then generates these embeddings using various techniques. This is useful for researchers, linguists, or anyone needing to understand the semantic relationships between words in a given corpus.
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Use this if you need to compare different word embedding models like Word2Vec, GloVe, or PPMI-SVD on your own text data.
Not ideal if you are looking for a pre-trained word embedding model or a high-level API for natural language processing tasks.
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Mar 12, 2017
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curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/lapis-zero09/compare_word_embedding"
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