Browse State-of-the-Art › Aspect Category Polarity
Aspect Category Polarity
5 papers with code · 1 benchmark · 3 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| AWARE (1 row) | Baseline | AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for... | — | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
3 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
5 shown of 5 papers with code (6 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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17 Jan 2022 2 repositories listedThe results indicate that this new approach increases the efficiency of the sentiment analysis model in the Persian language.
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28 Dec 2023 1 repository listedThe majority of available ABSA systems heavily rely on manually annotated datasets to train supervised machine learning models.
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8 Nov 2023 1 repository listedAspect-based Sentiment Analysis (ABSA) is a task whose objective is to classify the individual sentiment polarity of all entities, called aspects, in a sentence.
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22 May 2023 1 repository listedGenerative methods greatly promote aspect-based sentiment analysis via generating a sequence of sentiment elements in a specified format.
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16 Sep 2021 1 repository listedThe developed models were evaluated using the collected dataset in terms of example-based and label-based metrics.
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