Aspect-Based Sentiment Analysis Using Grammatical Rules, Word Similarity and SentiCircle
Article Properties
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DOI (url)
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Publication Date2019/10/31
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Indian UGC (journal)
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Citations4
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Ari Firmanto
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Riyanarto Sarno
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Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Aspect extraction and classification for sentiment analysis in drug reviews | Journal of Intelligent Information Systems |
| 4 | 2022 |
Efficacy improvement of aspect-based sentiment analysis using enhanced rule –based approach and domain-specific lexicon (ERBA-DSL) | Journal of Intelligent & Fuzzy Systems |
| 2022 | |
A supervised scheme for aspect extraction in sentiment analysis using the hybrid feature set of word dependency relations and lemmas | PeerJ Computer Science |
| 4 | 2021 |
| A Systematic Review on Implicit and Explicit Aspect Extraction in Sentiment Analysis | IEEE Access |
| 2 | 2020 |
Citations Analysis
The category
Science: Science (General): Cybernetics: Information theory 3
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A Systematic Review on Implicit and Explicit Aspect Extraction in Sentiment Analysis and was published in 2020. The most recent citation comes from a 2022 study titled Aspect extraction and classification for sentiment analysis in drug reviews. This article reached its peak citation in 2022, with 2 citations. It has been cited in 4 different journals, 50% of which are open access. Among related journals, the Journal of Intelligent Information Systems cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.