| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| topic modeling with gensim | 0.15 | 0.6 | 3807 | 96 | 26 |
| topic | 0.81 | 0.7 | 9827 | 55 | 5 |
| modeling | 0.33 | 0.1 | 9146 | 86 | 8 |
| with | 0.5 | 0.9 | 8777 | 65 | 4 |
| gensim | 0.99 | 0.2 | 9169 | 81 | 6 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| topic modeling with gensim | 1.46 | 0.4 | 6447 | 88 |
| topic modeling with gensim python | 0.51 | 0.3 | 726 | 99 |
| topic modeling using nmf gensim | 1.98 | 0.8 | 5919 | 31 |
| gensim topic modeling example | 1.1 | 0.3 | 1023 | 28 |
| gensim topic modeling tutorial | 1.59 | 0.6 | 8693 | 51 |
| lda topic modeling gensim | 0.62 | 0.3 | 170 | 29 |
| topic modeling spacy gensim | 0.35 | 0.8 | 741 | 39 |
| topic modelling using gensim | 1.13 | 0.8 | 3013 | 51 |
| gensim for topic modelling | 1.95 | 0.5 | 8068 | 89 |
| gensim library in python | 0.61 | 0.8 | 2512 | 23 |
| gensim text summarization python | 0.29 | 0.2 | 5207 | 83 |
| how to install gensim in python | 0.46 | 0.2 | 5530 | 97 |
| gensim_models | 0.86 | 0.3 | 4032 | 26 |
| gensim print_topics | 1.35 | 0.6 | 7235 | 27 |
| gensim python 3.6 | 1.5 | 0.5 | 9195 | 22 |
| python no module named gensim | 1.6 | 0.8 | 2395 | 77 |
| topic modelling in python | 0.95 | 0.2 | 4671 | 43 |
| topic modeling in python | 0.21 | 0.4 | 5300 | 47 |
| gensim_models.prepare | 0.13 | 1 | 6390 | 88 |
| gensim get_document_topics | 0.88 | 0.7 | 1382 | 60 |
| python3.9 gensim | 0.08 | 0.3 | 9269 | 12 |
| gensim common_texts | 1.69 | 0.2 | 2702 | 51 |
| gensim.models.phrases.phrases | 1.78 | 0.1 | 5343 | 98 |
| https://pypi.org/project/gensim/#files | 1.51 | 0.7 | 3520 | 48 |
| no module named gensim_models | 0.66 | 0.2 | 146 | 16 |
