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Integrated Topic Modeling and Feature Engineering for High-accuracy Sentiment Classification in Consumer Reviews
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| Published in: | International Journal of Intelligent Systems and Applications |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030192297574400 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | International Journal of Intelligent Systems and Applications |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:42994 |
| institution | FRELIP |
| journal_source_facet | International Journal of Intelligent Systems and Applications |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Integrated Topic Modeling and Feature Engineering for High-accuracy Sentiment Classification in Consumer Reviews — — — — — — Artificial Intelligence Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | — — — — — — Artificial Intelligence Computer Science & IT Engineering & Technology — — — — — — Artificial Intelligence Computer Science & IT Engineering & Technology |
| subject_facet | — — — — — — Artificial Intelligence Computer Science & IT Engineering & Technology |
| title | Integrated Topic Modeling and Feature Engineering for High-accuracy Sentiment Classification in Consumer Reviews |
| title_auth | Integrated Topic Modeling and Feature Engineering for High-accuracy Sentiment Classification in Consumer Reviews |
| title_full | Integrated Topic Modeling and Feature Engineering for High-accuracy Sentiment Classification in Consumer Reviews |
| title_fullStr | Integrated Topic Modeling and Feature Engineering for High-accuracy Sentiment Classification in Consumer Reviews |
| title_full_unstemmed | Integrated Topic Modeling and Feature Engineering for High-accuracy Sentiment Classification in Consumer Reviews |
| title_short | Integrated Topic Modeling and Feature Engineering for High-accuracy Sentiment Classification in Consumer Reviews |
| title_sort | integrated topic modeling and feature engineering for high-accuracy sentiment classification in consumer reviews |
| topic | — — — — — — Artificial Intelligence Computer Science & IT Engineering & Technology |
| url | https://www.mecs-press.org/ijisa/ijisa-v18-n2/v18n2-2.html |