Keyword | CPC | PCC | Volume | Score | Length of keyword |
---|---|---|---|---|---|
lexicon based approach | 1.3 | 0.9 | 4564 | 42 | 22 |
lexicon | 1.98 | 0.5 | 5986 | 43 | 7 |
based | 0.01 | 0.5 | 9171 | 100 | 5 |
approach | 0.17 | 1 | 2951 | 24 | 8 |
Keyword | CPC | PCC | Volume | Score |
---|---|---|---|---|
lexicon based approach | 0.98 | 0.7 | 7974 | 2 |
lexicon based approach sentiment analysis | 0.78 | 0.8 | 8285 | 70 |
lexicon based approach adalah | 0.76 | 0.5 | 4324 | 50 |
what is lexicon based approach | 0.9 | 0.6 | 2993 | 64 |
lexicon based sentiment analysis adalah | 0.36 | 0.2 | 1139 | 60 |
lexicon based sentiment analysis python | 1.97 | 0.6 | 2756 | 23 |
sentiment analysis dictionary-based approach | 1.11 | 0.7 | 5421 | 97 |
amazon lex sentiment analysis | 1.58 | 0.1 | 4043 | 32 |
dictionary based sentiment analysis | 0.95 | 0.6 | 190 | 76 |
text based sentiment analysis using lstm | 0.4 | 0.5 | 6515 | 99 |
topic based sentiment analysis | 1.67 | 0.9 | 4208 | 4 |
analisis sentimen lexicon based | 1.32 | 0.9 | 8765 | 36 |
llm based sentiment analysis | 0.74 | 0.9 | 723 | 84 |
lexicore5 for sentiment analysis | 0.2 | 0.9 | 819 | 39 |
review of text sentiment analysis methods | 1.52 | 0.2 | 5298 | 66 |
what is sentiment lexicon | 1.02 | 0.6 | 5726 | 64 |
textblob for sentiment analysis | 1.63 | 0.6 | 9894 | 35 |
sentiment analysis of text | 1.29 | 0.7 | 4411 | 94 |
lexicon-based approach | 1.91 | 0.6 | 219 | 18 |