Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
gensim_models | 1.99 | 0.4 | 6726 | 3 | 13 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
gensim models | 1.8 | 0.7 | 4657 | 51 |
gensim models word2vec | 1.27 | 0.3 | 6997 | 60 |
gensim_models | 0.84 | 1 | 5691 | 87 |
gensim_models.prepare | 0.2 | 0.7 | 6140 | 41 |
gensim word2vec pretrained models | 0.56 | 0.2 | 5335 | 67 |
gensim lda models parameters | 1.65 | 0.2 | 9026 | 31 |
gensim models ldamodel | 1.87 | 1 | 1380 | 54 |
from gensim import corpora models | 0.73 | 1 | 7628 | 60 |
gensim pretrained models | 1.47 | 1 | 9904 | 89 |
gensim downloader models | 0.22 | 0.1 | 8705 | 93 |
gensim models word2vec documentation | 1.48 | 0.7 | 9783 | 25 |
gensim models tfidf | 0.53 | 0.5 | 1911 | 45 |
gensim models keyedvectors | 0.85 | 0.1 | 2970 | 53 |
gensim models phrases | 0.39 | 0.8 | 7798 | 97 |
gensim models fasttext | 0.9 | 0.6 | 325 | 75 |
lda model gensim | 1.65 | 1 | 7473 | 31 |
word2vec model gensim | 1.28 | 0.8 | 2072 | 75 |
topic modeling using nmf gensim | 1.91 | 0.5 | 6382 | 93 |