{"url":"/dataset/stockemotions","name":"StockEmotions","full_name":null,"description_markdown":"This repository contains a financial-domain-focused dataset for financial sentiment/emotion classification and stock market time series prediction. It's based on our paper: StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series accepted by AAAI 2023 Bridge (AI for Financial Services).\r\n\r\n- Data collection period: Jan 2020 - Dec 2020\r\n- Number of Utterance: 10,000 (train 80%, val 10%, test 10%)\r\n- Sentiment classes: 2 [bullish (~positive), bearish (~negative)]\r\n- Emotion classes: 12 [ambiguous, amusement, anger, anxiety, belief, confusion, depression, disgust, excitement, optimism, panic, surprise]\r\n\r\n- **tweet/processed.csv**: 50,281 samples with text-processed data for Topic Modelling\r\n- **tweet/train, val, test.csv**: 10,000 samples in total. Each file has id, date, ticker, emo_label, senti_lable, original, and processed content. For the data curation, processing (e.g. emoji, CTAG, HTAG), and annotation, we refer to our paper. The dataset is used for Financial Sentiment/Emotion Classification tasks.\r\n- **price/38 companies**: historical price data in csv format. The tweet and price dataset together are used for Multivariate Time Series tasks.","description_withheld":null,"homepage":"https://github.com/adlnlp/StockEmotions","introduced_date":"2023-01-23","introduced_date_note":null,"introduced_by":{"paper":"/paper/stockemotions-discover-investor-emotions-for","title":"StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series","first_author":"Jean Lee","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"},{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[{"name":"Time Series Forecasting","url":"/task/time-series-forecasting","datasets_with_task":"/datasets/task/time-series-forecasting"},{"name":"Emotion Classification","url":"/task/emotion-classification","datasets_with_task":"/datasets/task/emotion-classification"},{"name":"Sentiment Classification","url":"/task/sentiment-classification","datasets_with_task":"/datasets/task/sentiment-classification"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["StockEmotions"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}