| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| topic modelling using gensim | 0.2 | 0.8 | 7010 | 67 | 28 |
| topic | 1.28 | 0.2 | 1416 | 77 | 5 |
| modelling | 1.26 | 0.1 | 1262 | 68 | 9 |
| using | 1.26 | 0.6 | 9942 | 70 | 5 |
| gensim | 1.01 | 0.8 | 1416 | 45 | 6 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| topic modelling using gensim | 1.13 | 0.1 | 603 | 86 |
| topic modelling using gen ai | 0.28 | 0.4 | 4377 | 33 |
| topic modelling using lda and gensim | 1.71 | 0.7 | 992 | 34 |
| topic modeling with gensim python | 0.21 | 0.9 | 339 | 30 |
| topic modeling using nmf gensim | 0.93 | 0.8 | 1024 | 70 |
| gensim_models | 0.05 | 0.3 | 185 | 25 |
| gensim print_topics | 0.18 | 0.8 | 1043 | 55 |
| gensim_models.prepare | 0.07 | 0.8 | 5739 | 1 |
| gensim get_document_topics | 1.4 | 0.6 | 5408 | 19 |
| how to import gensim summarize | 0.16 | 0.5 | 2810 | 16 |
| how to import gensim | 0.87 | 0.9 | 1787 | 43 |
| gensim common_texts | 0.12 | 0.1 | 5307 | 2 |
| how to use gensim medium | 1.6 | 0.5 | 781 | 72 |
| gensim key_to_index | 0.91 | 0.7 | 8137 | 28 |
| gensim.models.phrases.phrases | 1.36 | 0.5 | 6995 | 1 |
| how to install gensim.summarization | 0.03 | 0.2 | 5453 | 93 |
| how to install gensim | 0.37 | 0.7 | 7770 | 41 |
| gensim.models.fasttext | 0.27 | 1 | 7626 | 62 |
| gensim most_similar | 1.67 | 0.6 | 2185 | 36 |
| gensim lda print_topics | 0.45 | 0.9 | 2144 | 32 |
| gensim.models.coherencemodel | 0.33 | 0.9 | 7477 | 95 |
| gensim.summarization pip | 1.98 | 0.5 | 745 | 17 |
