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| word_list = [doc.words for doc in docs] | |
| bigram = gensim.models.Phrases(word_list) | |
| bigram_phr = gensim.models.phrases.Phraser(bigram) | |
| bi_docs = [] | |
| for doc in docs: | |
| words = bigram_phr[doc.words] | |
| tags = doc.tags | |
| bi_docs.append(TaggedDocument(words, tags)) | |
| # Again for N+1 Gram | |
| word_list = [doc.words for doc in bi_docs] | |
| trigram = gensim.models.Phrases(word_list) | |
| trigram_phr = gensim.models.phrases.Phraser(trigram) | |
| tri_docs = [] | |
| for doc in bi_docs: | |
| words = trigram_phr[doc.words] | |
| tags = doc.tags | |
| tri_docs.append(TaggedDocument(words, tags)) |
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