Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
tokenize tn | 0.3 | 0.8 | 1522 | 35 | 11 |
tokenize | 1.79 | 1 | 887 | 58 | 8 |
tn | 0.42 | 0.1 | 9688 | 69 | 2 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
tokenize nltk | 0.49 | 0.3 | 4305 | 36 |
tokenize nlp | 0.88 | 0.4 | 8126 | 37 |
tokenize encode | 0.89 | 0.8 | 3685 | 76 |
tokenize new york | 1.55 | 0.4 | 4489 | 5 |
tokenize text python | 0.77 | 0.4 | 1698 | 64 |
tokenize technology m sdn. bhd | 1.76 | 0.5 | 7044 | 67 |
tokenize nltk python example | 0.47 | 0.9 | 421 | 96 |
tokenize text | 1.03 | 1 | 6487 | 11 |
tokenize technology | 1.3 | 0.9 | 6658 | 45 |
tokenize tool openai | 1.98 | 0.5 | 4430 | 48 |
tokenize topics | 0.73 | 0.2 | 3312 | 41 |
tokenize the documents to words | 1.49 | 0.1 | 4883 | 1 |
tokenize text azure open ai same length | 0.23 | 0.3 | 2730 | 22 |
nltk word tokenize | 1.73 | 0.9 | 4843 | 28 |
nltk sent tokenize | 0.42 | 0.7 | 3313 | 63 |
python nltk tokenize | 0.18 | 0.9 | 66 | 2 |
word tokenize nltk python | 0.62 | 0.9 | 1539 | 78 |
how to tokenize sentence using nltk package | 1.23 | 0.3 | 9316 | 38 |
nltk tokenize words | 1.75 | 0.8 | 245 | 25 |
tokenizer nlp fpga | 0.4 | 0.9 | 1708 | 78 |
tokenizer nlp for dummies | 0.16 | 0.2 | 5435 | 93 |