Sentiment140 Tweet Sentiment Dataset
A Twitter dataset of 1,600,000 tweets with binary sentiment labels (positive/negative) assigned via emoticon distant supervision, collected by Go, Bhayani and Huang at Stanford University via Twitter streaming API in 2009. Each record contains tweet text with polarity label (0=negative, 4=positive), tweet ID, timestamp, search query used for collection, and username. The dataset is notable for its one of the largest and most widely used Twitter sentiment benchmarks, notable for using emoticons as a noisy but scalable distant supervision signal rather than manual annotation, enabling 1.6M labeled examples. Intended for research into sentiment analysis, opinion mining, distant supervision research, text classification benchmarking, and social media language modeling.
Cite this dataset at
sentiment140.echo.directory
Analytics
Topic 0
Topic 1
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Show all 26 topics
Topic 12
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Sampled: text metrics from 50K of 500K records; topic model from 20K.
Record
- Catalog key
sentiment140- Authors
- Go, Alec
- Year
- 2009
- Source paper
- Twitter Sentiment Classification using Distant Supervision
- License
- Unknown — academic research dataset
- Records
- 500,000
- Text corpus
- tweet text
- Languages
- en
- Collected
- 2009 (2000s)
- Tasks
- Sentiment classification inferred
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://huggingface.co/datasets/stanfordnlp/sentiment140 link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 117.9 MB across 1 files. Checksums in MANIFEST.json.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@inproceedings{go2009,
title = {Twitter Sentiment Classification using Distant Supervision},
author = {Go, Alec},
year = {2009},
booktitle = {}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Go, A. (2009). Sentiment140 Tweet Sentiment Dataset [Data set]. https://sentiment140.echo.directory/
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Go, Alec. Sentiment140 Tweet Sentiment Dataset. 2009, sentiment140.echo.directory/.