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Sentiment Classification datasets
archive 2025-07-28
15 datasets carry the task tag "Sentiment Classification" (the task itself: Sentiment Classification), ordered by the archive's paper count. Page 1 of 1: 15 shown of 15. 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
Sentiment Classification datasets 1–15 of 15
The Yelp Dataset is a valuable resource for academic research, teaching, and learning.
86 papers · 15 benchmarks
The Yelp Reviews Polarity dataset is obtained from the Yelp Dataset Challenge in 2015 (1,569,264 samples that have review text).
37 papers · 0 benchmarks
SST-3 (Stanford Sentiment Treebank: 3-way)
SST-5 is the Stanford Sentiment Treebank 5-way classification dataset (positive, somewhat positive, neutral, somewhat negative, negative).
10 papers · 1 benchmark
This repository contains a financial-domain-focused dataset for financial sentiment/emotion classification and stock market time series prediction.
3 papers · 0 benchmarks
Sentiment detection remains a pivotal task in natural language processing, yet its development in Arabic lags due to a scarcity of training materials compared to English.
2 papers · 0 benchmarks
LatamXIX (19th Century Latin American Spanish Newspaper Corpus with LLM OCR Correction)
A novel dataset of 19th-century Latin American press texts, which addresses the lack of specialized corpora for historical and linguistic analysis in this region.
2 papers · 0 benchmarks
In AISIA-VN-Review-S and AISIA-VN-Review-F datasets, we first collect 450K customer reviewing comments from various e–commerce websites.
1 paper · 0 benchmarks
Sentiment analysis is pivotal in Natural Language Processing for understanding opinions and emotions in text.
1 paper · 0 benchmarks
BanglaBook (Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews)
This repository contains the code, data, and models of the paper titled "BᴀɴɢʟᴀBᴏᴏᴋ: A Large-scale Bangla Dataset for Sentiment Analysis from Book Reviews" published in the Findings of the Association for Computational Linguistics: ACL…
1 paper · 1 benchmark
This dataset contains news headlines relevant to key forex pairs: AUDUSD, EURCHF, EURUSD, GBPUSD, and USDJPY.
1 paper · 0 benchmarks
Movie Reviews (Movie Review Polarity Dataset Enriched with "Annotator Rationales")
This dataset is based on the movie review polarity dataset (v2.0) collected and maintained by Bo Pang and Lillian Lee.
1 paper · 0 benchmarks
The Perfume Co-Preference Network dataset comprises comprehensive user reviews and ratings collected from the Persian retail platform Atrafshan.
1 paper · 0 benchmarks
This is a dataset for 3-way sentiment classification of reviews (negative, neutral, positive).
1 paper · 1 benchmark
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
1 paper · 0 benchmarks
"My ridiculous dog is amazing." [sentiment: positive] With all of the tweets circulating every second it is hard to tell whether the sentiment behind a specific tweet will impact a company, or a person's, brand for being viral (positive),…
1 paper · 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.