| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| how does word2vec work | 0.12 | 0.2 | 8570 | 85 | 22 |
| how | 1.91 | 0.7 | 356 | 27 | 3 |
| does | 1.49 | 0.1 | 8702 | 20 | 4 |
| word2vec | 1.62 | 0.9 | 2824 | 99 | 8 |
| work | 0.64 | 0.4 | 3181 | 18 | 4 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| how does word2vec work | 0.02 | 0.9 | 5657 | 35 |
| how does word2vec work in terms of training | 1.86 | 1 | 2952 | 63 |
| how word2vec works | 1.09 | 1 | 2301 | 82 |
| the inner workings of word2vec pdf | 0.25 | 0.3 | 9280 | 60 |
| word2vec workers | 1.5 | 0.7 | 8984 | 85 |
| the inner workings of word2vec | 1.59 | 0.5 | 975 | 17 |
| how to use word2vec | 0.9 | 0.9 | 7034 | 42 |
| word2vec explained with example | 0.36 | 0.4 | 1525 | 92 |
| 2. word2vec | 0.82 | 0.6 | 5024 | 28 |
| what is the primary goal of word2vec | 0.99 | 0.6 | 1441 | 86 |
| how to use word2vec model | 0.89 | 0.2 | 7412 | 73 |
| how to download word2vec | 2 | 0.7 | 4649 | 55 |
| how to train word2vec | 1.33 | 0.6 | 6969 | 14 |
| how word2vec is trained | 1.96 | 0.8 | 3863 | 15 |
| how to use word2vec embeddings | 1.94 | 0.2 | 4556 | 94 |
| google's word2vec | 1.47 | 0.5 | 2903 | 4 |
| word2vec_data | 1.7 | 0.7 | 4473 | 17 |
| word2vec.load | 1.19 | 0.1 | 6180 | 88 |
| use word2vec to find similar words | 0.69 | 0.5 | 1442 | 68 |
| word2vec most_similar | 0.6 | 0.5 | 3579 | 36 |
| what is word2vec in nlp | 1.88 | 0.6 | 2627 | 70 |
| word embedding using word2vec | 0.97 | 0.8 | 6931 | 34 |
| word2vec.txt | 1.24 | 0.6 | 5327 | 41 |
