Weather Sentiment on Twitter (CrowdFlower)
Weather sentiment from CrowdFlower (Figure Eight): 1,000 weather-related tweets, each graded by 20 contributors for the emotion the author expresses specifically about the weather (271 Negative, 261 Neutral / author is just sharing information, 235 Tweet not related to weather condition, 231 Positive, 2 I can't tell), plus the follow-up job in which 10 contributors judged whether the crowd's grade was correct, for the same 1,000 tweets (answers: 992 Yes, 5 No, 3 I can't tell). Each tweet has an ID, its text, the emotion and the confidence upstream computed for it; the evaluation file's judgments are in their own table.
Cite this dataset at
weather-sentiment.echo.directory
Analytics
Topic 0
Topic 1
Topic 2
Topic 3
Topic 4
Topic 5
Topic 6
Topic 7
Topic 8
Topic 9
Topic 10
Topic 11
Show all 16 topics
Topic 12
Topic 13
Topic 14
Topic 15
- Negative271 (27.1%)
- Neutral / author is just sharing information261 (26.1%)
- Tweet not related to weather condition235 (23.5%)
- Positive231 (23.1%)
- I can't tell2 (0.2%)
Computed over the full corpus.
Record
- Catalog key
weather-sentiment- Authors
- CrowdFlower
- Year
- 2015
- Source paper
- Weather sentiment
- License
- CC BY 4.0 (Figure Eight 'Data for Everyone' library) (CC-BY-4.0)
- Records
- 1,000
- Nodes are
- unknown
- Edges are
- unknown
- Text corpus
- tweet text
- Languages
- en
- Tasks
- Sentiment classification (multi-class;
sentiment_label) inferred - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://www.figure-eight.com/data-for-everyone/ link checked
- Original files as received
- The source files, unconverted, kept for reference: mirrored on echo.directory on 2026-10-20, 366.4 KB across 2 files. Checksums in MANIFEST.json. For use, start with the data package below.
- Data package
- Version 1.0.0 of this dataset as an ECHO Data Package: posts (1,000 rows), annotations (1,000 rows), x_evaluations (1,000 rows).
- Structure
- Labelled data, Text
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}
}
@misc{crowdflower2015weathersenti,
title = {Weather sentiment},
author = {CrowdFlower},
year = {2015},
note = {Data for Everyone library, added 2015-03-09},
howpublished = {\url{https://www.figure-eight.com/data-for-everyone/}}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
CrowdFlower (2015). Weather Sentiment on Twitter (CrowdFlower) [Data set]. https://weather-sentiment.echo.directory/
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
CrowdFlower. Weather Sentiment on Twitter (CrowdFlower). 2015, weather-sentiment.echo.directory/.