Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
word2vec gensim example code | 1.58 | 0.9 | 562 | 65 | 28 |
word2vec | 1.5 | 0.2 | 2056 | 67 | 8 |
gensim | 1.92 | 1 | 662 | 69 | 6 |
example | 0.81 | 0.5 | 8885 | 6 | 7 |
code | 0.78 | 0.8 | 8296 | 92 | 4 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
word2vec gensim example code | 1.03 | 0.9 | 66 | 79 |
what is gensim word2vec | 1.98 | 0.8 | 2477 | 15 |
gensim word2vec model download | 0.49 | 0.1 | 3923 | 39 |
gensim.model word2vec | 1.85 | 0.8 | 3439 | 82 |
gensim word2vec get vocabulary | 0.48 | 0.5 | 3493 | 37 |
gensim word2vec.load | 1.97 | 0.6 | 9142 | 12 |
load word2vec model gensim | 2 | 0.9 | 2731 | 23 |
gensim load google word2vec | 1.38 | 0.6 | 1681 | 61 |
word2vec gensim most_similar | 1.7 | 1 | 84 | 41 |
gensim load_word2vec_format | 1.07 | 0.8 | 8042 | 83 |
gensim word2vec get vector | 1.19 | 0.7 | 7449 | 85 |
from gensim.model import word2vec | 0.49 | 1 | 7905 | 34 |
gensim save_word2vec_format | 1.6 | 1 | 1194 | 55 |
gensim word2vec window size | 0.23 | 0.1 | 628 | 11 |
gensim word2vec min_count | 0.02 | 0.1 | 3751 | 54 |
cannot import name word2vec from gensim | 1.93 | 0.4 | 7610 | 49 |
gensim.models.word2vec.load | 0.16 | 0.7 | 5129 | 98 |
gensim word2vec pretrained models | 0.26 | 0.5 | 8887 | 88 |
gensim load pretrained word2vec model | 0.57 | 0.9 | 9384 | 82 |
gensim word2vec produce randome result | 1.89 | 1 | 9769 | 96 |
gensim word2vec.wv | 1.85 | 0.4 | 1021 | 42 |