| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| nltk tokenize dataframe column | 1.49 | 0.4 | 9285 | 73 | 30 |
| nltk | 0.57 | 0.7 | 5920 | 19 | 4 |
| tokenize | 1.46 | 0.1 | 9735 | 10 | 8 |
| dataframe | 1.87 | 1 | 4661 | 37 | 9 |
| column | 0.92 | 0.3 | 6494 | 40 | 6 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| nltk tokenize dataframe column | 0.35 | 0.5 | 7340 | 61 |
| how to tokenize using nltk | 1.79 | 0.9 | 7090 | 36 |
| nltk tokenize lookup error | 1.21 | 0.1 | 6797 | 75 |
| text tokenization using nltk | 0.16 | 0.4 | 2615 | 33 |
| from nltk import sent_tokenize | 1.05 | 0.5 | 6561 | 79 |
| nltk sent_tokenize | 1.93 | 0.4 | 4054 | 65 |
| nltk tokenize remove punctuation | 2 | 0.4 | 6846 | 3 |
| word_tokenize function in nltk | 0.24 | 0.8 | 3341 | 3 |
| perform tokenization using nltk library | 1.15 | 0.2 | 284 | 66 |
| perform text tokenization using nltk | 0.53 | 0.1 | 2143 | 99 |
| word tokenize in nltk | 1.22 | 0.3 | 8520 | 14 |
| how to tokenize sentence using nltk package | 0.78 | 0.1 | 7454 | 97 |
| tokenization in python nltk | 0.98 | 0.9 | 6714 | 89 |
| tokenization nltk code in python | 0.55 | 0.3 | 9682 | 12 |
| vectorize column values with nltk | 0.84 | 0.4 | 4260 | 19 |
| python nltk sent_tokenize | 1.74 | 0.1 | 7757 | 40 |
| from nltk import word_tokenize | 0.35 | 0.6 | 735 | 1 |
| using nltk with python for text tokenization | 1.9 | 0.4 | 3699 | 76 |
| nltk word_tokenize | 0.19 | 0.6 | 4507 | 19 |
| word tokenization in nltk | 0.8 | 0.4 | 4898 | 58 |
