Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
python tokenizer nltk | 0.57 | 0.6 | 8084 | 43 | 21 |
python | 1.54 | 0.5 | 5585 | 17 | 6 |
tokenizer | 0.7 | 0.7 | 7175 | 38 | 9 |
nltk | 0.51 | 0.9 | 6780 | 87 | 4 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
python tokenizer nltk | 1.4 | 0.2 | 3201 | 51 |
python nltk sentence tokenizer | 1.05 | 0.3 | 2407 | 91 |
sentence tokenization using nltk | 1.51 | 0.5 | 6773 | 60 |
python nltk sent_tokenize | 1.34 | 0.6 | 3186 | 24 |
how to tokenize sentence using nltk package | 1.25 | 0.1 | 892 | 50 |
nltk.word_tokenize sentence | 0.94 | 0.6 | 6124 | 15 |
tokenization nltk code in python | 1.86 | 0.6 | 299 | 22 |
using nltk with python for text tokenization | 1.36 | 0.6 | 9354 | 31 |
tokenization in python nltk | 0.5 | 0.4 | 6158 | 63 |
python nltk word_tokenize | 1.04 | 0.7 | 8067 | 25 |
word tokenize nltk python | 0.5 | 0.8 | 228 | 48 |
nltk.word_tokenize python | 0.73 | 0.3 | 7696 | 91 |
nltk sent_tokenize | 0.59 | 0.8 | 3298 | 87 |
text tokenization using nltk | 0.49 | 0.1 | 6061 | 92 |
perform text tokenization using nltk | 0.83 | 0.4 | 5168 | 36 |