ossteam8 / LDA-TextRank-keyword

Keyword extractor using LDA and TextRank combined

GNU Lesser General Public License v2.1

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After textrank, topic count reduces (ex: N -> N-1) #1

Closed linkyouhj closed 3 years ago

linkyouhj commented 3 years ago

linkyouhj commented 3 years ago

for i in range(NUM_TOPICS+1): if len(corp_doc_topic[i])!= 0: mat,vocab_idx, idx_vocab = word_graph(corp_doc_topic[i]) R = pagerank(mat,method ="iterative") topk = 10 idxs = R.argsort()[-topk:] keywords.append([(idx, R[idx], idx_vocab[idx]) for idx in reversed(idxs)])

keyword = [(R[idx]) for idx in reversed(idxs)]

range changed from NUM_TOPICS --> NUM_TOPICS+1