Home › Datasets › task › Aspect-Based Sentiment Analysis (ABSA)
Aspect-Based Sentiment Analysis (ABSA) datasets
archive 2025-07-28
20 datasets carry the task tag "Aspect-Based Sentiment Analysis (ABSA)" (the task itself: Aspect-Based Sentiment Analysis (ABSA)), ordered by the archive's paper count. Page 1 of 1: 20 shown of 20. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Aspect-Based Sentiment Analysis (ABSA) datasets 1–20 of 20
Sentiment analysis is increasingly viewed as a vital task both from an academic and a commercial standpoint.
107 papers · 4 benchmarks
ASTE (Aspect Sentiment Triplet Extraction)
Target-based sentiment analysis or aspect-based sentiment analysis (ABSA) refers to addressing various sentiment analysis tasks at a fine-grained level, which includes but is not limited to aspect extraction, aspect sentiment…
64 papers · 1 benchmark
MAMS (Multi Aspect Multi-Sentiment)
MAMS is a challenge dataset for aspect-based sentiment analysis (ABSA), in which each sentences contain at least two aspects with different sentiment polarities.
46 papers · 1 benchmark
ACOS (Aspect Category Opinion Sentiment)
Most of the aspect based sentiment analysis research aims at identifying the sentiment polarities toward some explicit aspect terms while ignores implicit aspects in text.
11 papers · 1 benchmark
ASQP (Aspect Sentiment Quad Prediction)
Aspect-based sentiment analysis (ABSA) typically focuses on extracting aspects and predicting their sentiments on individual sentences such as customer reviews.
11 papers · 1 benchmark
TASD (Target Aspect Sentiment Detection)
Aspect-based sentiment analysis (ABSA) aims to detect the targets (which are composed by continuous words), aspects and sentiment polarities in text.
7 papers · 1 benchmark
Chinese AI and Law 2019 Similar Case Matching dataset.
4 papers · 0 benchmarks
DiaASQ (Conversational Aspect-based Sentiment Quadruple Extraction)
DiaASQ is a fine-grained Aspect-based Sentiment Analysis (ABSA) benchmark under the conversation scenario.
4 papers · 2 benchmarks
Laptop-ACOS is a brand new Laptop dataset collected from the Amazon platform in the years 2017 and 2018 (covering ten types of laptops under six brands such as ASUS, Acer, Samsung, Lenovo, MBP, MSI, and so on).
4 papers · 1 benchmark
MuseASTE (MuSe-CarASTE: A comprehensive dataset for aspect sentiment triplet extraction in automotive review videos)
•A new benchmark dataset for Aspect Sentiment Triplet Extraction.
4 papers · 1 benchmark
The Restaurant-ACOS dataset is constructed based on the SemEval 2016 Restaurant dataset (Pontiki et al., 2016) and its expansion datasets (Fan et al., 2019; Xu et al., 2020).
4 papers · 1 benchmark
This is an entity-level Twitter Sentiment Analysis dataset.
4 papers · 1 benchmark
Pars-ABSA is a manually annotated Persian dataset, Pars-ABSA, which is verified by 3 native Persian speakers.
3 papers · 0 benchmarks
AWARE (AWARE: Aspect-Based Sentiment Analysis Dataset of Apps Reviews for Requirements Elicitation)
The peer-reviewed paper of AWARE dataset is published in ASEW 2021, and can be accessed through: http://doi.org/10.1109/ASEW52652.2021.00049.
2 papers · 3 benchmarks
UIT-ViSFD (Vietnamese Aspect-Based Sentiment Analysis Dataset)
UIT-ViSFD is a Vietnamese Smartphone Feedback Dataset as a new benchmark corpus built based on strict annotation schemes for evaluating aspect-based sentiment analysis, consisting of 11,122 human-annotated comments for mobile e-commerce,…
2 papers · 0 benchmarks
YASO is a crowd-sourced TSA evaluation dataset, collected using a new annotation scheme for labeling targets and their sentiments.
2 papers · 0 benchmarks
The Covid19-CountryImage dataset is a Twitter dataset which contains COVID-19-related tweets.
1 paper · 0 benchmarks
FABSA (An aspect-based sentiment analysis dataset of Customer Feedback reviews)
FABSA, An aspect-based sentiment analysis dataset in the Customer Feedback space (Trustpilot, Google Play and Apple Store reviews).
1 paper · 2 benchmarks
ROAST (Review level Opinion Aspect Sentiment Target Joint Detection for ABSA)
This repository has a review-level multidomain multilingual dataset for Aspect-based Sentiment Analysis(ABSA) for the paper ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection.
1 paper · 0 benchmarks
SEN (Sentiment analysis of Entities in News headlines)
SEN is a novel publicly available human-labelled dataset for training and testing machine learning algorithms for the problem of entity level sentiment analysis of political news headlines.
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.