| Keyword | CPC | PCC | Volume | Score | Length of keyword |
|---|---|---|---|---|---|
| approach for sentiment analysis | 0.9 | 0.4 | 9346 | 46 | 31 |
| approach | 1.36 | 0.6 | 2226 | 89 | 8 |
| for | 0.7 | 0.2 | 6666 | 34 | 3 |
| sentiment | 1.35 | 0.3 | 7314 | 92 | 9 |
| analysis | 1.23 | 0.5 | 2742 | 61 | 8 |
| Keyword | CPC | PCC | Volume | Score |
|---|---|---|---|---|
| approach for sentiment analysis | 0.75 | 0.8 | 5197 | 90 |
| lexicon based approach in sentiment analysis | 1.6 | 0.1 | 8954 | 2 |
| hybrid approach in sentiment analysis | 0.83 | 0.7 | 7411 | 55 |
| lexicon approach sentiment analysis | 0.1 | 0.5 | 4407 | 12 |
| sentiment analysis dictionary-based approach | 0.34 | 0.6 | 2117 | 55 |
| rule based approach in sentiment analysis | 0.72 | 0.5 | 6889 | 71 |
| lexicon based sentiment analysis adalah | 0.71 | 0.2 | 8680 | 14 |
| lexicon based sentiment analysis python | 0.48 | 0.2 | 371 | 6 |
| amazon lex sentiment analysis | 1.79 | 0.7 | 594 | 94 |
| dictionary based sentiment analysis | 1.4 | 0.6 | 4200 | 46 |
| text based sentiment analysis using lstm | 0.86 | 1 | 9519 | 22 |
| analisis sentimen lexicon based | 0.99 | 0.8 | 7892 | 97 |
| what is sentiment lexicon | 1.58 | 0.1 | 7861 | 55 |
| topic based sentiment analysis | 1.16 | 0.5 | 7353 | 58 |
| lexicore5 for sentiment analysis | 0.47 | 0.4 | 1313 | 64 |
| review of text sentiment analysis methods | 1.85 | 1 | 9967 | 71 |
| sentiment analysis of text | 0.26 | 0.4 | 9996 | 99 |
| textblob for sentiment analysis | 1.76 | 0.2 | 4549 | 65 |
| text and sentiment analysis | 1.7 | 0.8 | 5804 | 63 |
| lexicon-based approach | 0.49 | 0.9 | 7963 | 12 |
