Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
special word to tokenizer word | 0.95 | 1 | 8864 | 81 |
word_tokenizer | 1.87 | 0.7 | 1633 | 55 |
wordpiece_tokenizer | 0.41 | 0.1 | 6006 | 17 |
tokenize the documents to words | 0.55 | 0.6 | 4266 | 17 |
word_tokenize | 0.52 | 0.4 | 7759 | 47 |
tokenizer word_ids | 1.08 | 0.8 | 7695 | 47 |
tokenizer num_words | 0.06 | 0.8 | 5906 | 15 |
word_tokenize text | 1.14 | 0.6 | 2430 | 18 |
tokenizer : keyword | 0.58 | 0.8 | 8212 | 76 |
word piece tokenization tutorial | 1.67 | 0.1 | 5242 | 63 |
tokenizer tokenizer num_words max_words | 0.81 | 0.8 | 2886 | 73 |
sent_tokenize word_tokenize | 0.26 | 0.4 | 3458 | 52 |
tokenizer.save_vocabulary | 0.88 | 0.4 | 2695 | 48 |
wordpiece tokenizer for lstm | 0.56 | 0.5 | 7322 | 71 |
how to tokenize sentence into words | 1.62 | 0.4 | 8753 | 49 |
tokenizer.word_index | 0.24 | 0.6 | 9039 | 4 |
tokens word_tokenize text | 1.85 | 0.5 | 2469 | 10 |
tokenizer.index_word | 0.96 | 0.6 | 2306 | 17 |
sub-word tokenization | 1.56 | 0.6 | 6574 | 58 |
word_tokenize comment | 1.88 | 0.1 | 1336 | 6 |
tokenizer.get_vocab | 1.87 | 0.2 | 970 | 29 |
python word_tokenize | 1.95 | 0.8 | 1596 | 51 |