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by Vetch
1657 days ago
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Ah, although, TF-IDF is still good to know. Semantic search hasn't eliminated the need for classical retrieval techniques. It can also be used to select a subset of words to use to create an average of word vectors for a document signature, a quick and dirty method for document embeddings. Bag of word co-occurrences in matrix format is also a nice to know, factorizing such matrices were the original vector space model for distributional semantics and provide historical context for GloVe and the like. |
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And also, IIRC, still outperforms them on some tasks.