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✔ Train large-scale semanticNLP models ✔ Representtext as semantic vectors ✔ Find semantically related documents from gensim import corpora, models,similarities, downloader # Stream a training corpus directly from S3. corpus = corpora.MmCorpus("s3://path/to/corpus") # Train Latent Semantic Indexing with 200D vectors. lsi = models.LsiModel(corpus, num_topics=200) # Convert another corpus t
Built upon Lucene, Solr provides fast, highlyscalable, and easily maintainable full-text search capabilities. However, under the hood, Solr is reallyjust a sophisticated token-matching engine. Whats missing? – Semantic Search! Consider three, somewhat silly documents: Yellowbanana peels. Abanana is a long yellow fruit. This mystery fruit is long and yellow and has a peel. Now what happens if y
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