Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
sentence tokenizer nltk | 1.53 | 0.3 | 6108 | 2 | 23 |
sentence | 0.4 | 0.3 | 9989 | 21 | 8 |
tokenizer | 1.4 | 0.4 | 4526 | 78 | 9 |
nltk | 1.81 | 0.6 | 6141 | 39 | 4 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
sentence tokenizer nltk | 0.3 | 0.4 | 7864 | 32 |
python nltk sentence tokenizer | 0.84 | 0.5 | 9569 | 83 |
nltk punkt sentence tokenizer | 0.1 | 0.6 | 8341 | 33 |
nltk vs spacy sentence tokenizer | 0.98 | 0.9 | 7835 | 23 |
sentence tokenization using nltk | 0.5 | 0.8 | 5794 | 77 |
python nltk sent_tokenize | 1.19 | 0.4 | 3636 | 15 |
how to tokenize sentence using nltk package | 0.41 | 0.5 | 646 | 67 |
nltk.word_tokenize sentence | 1.62 | 0.3 | 362 | 69 |
tokenization nltk code in python | 1.09 | 0.9 | 4042 | 94 |
using nltk with python for text tokenization | 0.8 | 0.3 | 2434 | 23 |
tokenization in python nltk | 0.11 | 0.2 | 8033 | 7 |
python nltk word_tokenize | 1.88 | 0.1 | 7779 | 61 |
word tokenize nltk python | 0.44 | 0.2 | 6949 | 79 |
nltk.word_tokenize python | 1.23 | 0.5 | 7202 | 13 |
nltk sent_tokenize | 1.63 | 0.4 | 1227 | 76 |
text tokenization using nltk | 0.96 | 0.8 | 5718 | 53 |
perform text tokenization using nltk | 0.75 | 0.3 | 8652 | 10 |
word tokenization in nltk | 0.43 | 0.3 | 245 | 52 |
download tokenizers for nltk | 1.69 | 0.1 | 5684 | 10 |
perform tokenization using nltk library | 0.06 | 0.6 | 1386 | 41 |
nltk word_tokenize | 1.72 | 0.7 | 5569 | 3 |
word_tokenize function in nltk | 1.71 | 0.6 | 6917 | 41 |