Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
gensim word2vec most similar | 0.36 | 0.9 | 3655 | 3 | 28 |
gensim | 1.79 | 0.6 | 2275 | 67 | 6 |
word2vec | 0.03 | 0.1 | 6320 | 90 | 8 |
most | 0.92 | 0.5 | 2055 | 1 | 4 |
similar | 0.24 | 1 | 9333 | 56 | 7 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
gensim word2vec most similar | 0.87 | 0.9 | 2453 | 100 |
what is gensim word2vec | 1.05 | 0.7 | 510 | 56 |
word2vec gensim example code | 0.01 | 0.2 | 6652 | 65 |
gensim word2vec get vocabulary | 0.61 | 0.1 | 6560 | 83 |
gensim word2vec model download | 0.56 | 0.5 | 5886 | 93 |
gensim.model word2vec | 0.28 | 0.7 | 6093 | 61 |
gensim similar_by_word | 1.31 | 0.5 | 7824 | 9 |
gensim load google word2vec | 1.83 | 0.9 | 4474 | 94 |
gensim word2vec window size | 1.56 | 0.3 | 5516 | 13 |
gensim word2vec.load | 1.25 | 0.8 | 2675 | 28 |
load word2vec model gensim | 0.47 | 1 | 6296 | 100 |
gensim word2vec get vector | 0.6 | 0.6 | 3163 | 43 |
gensim word2vec pretrained models | 1.12 | 0.7 | 7859 | 31 |
gensim word2vec fine tune | 0.64 | 0.6 | 2339 | 100 |
most_similar word2vec | 0.24 | 0.5 | 1985 | 16 |
from gensim.model import word2vec | 0.32 | 1 | 5940 | 82 |
gensim most_similar | 1.2 | 0.2 | 159 | 35 |
gensim load_word2vec_format | 0.78 | 0.2 | 1625 | 71 |
gensim word2vec.wv | 1.07 | 0.3 | 4444 | 33 |
gensim.models.word2vec.load | 0.5 | 0.5 | 9847 | 36 |
gensim save_word2vec_format | 1.96 | 0.1 | 6863 | 23 |