2015 New Year's Resolutions on Twitter (CrowdFlower)
2015 New Year's resolutions from CrowdFlower: 5,011 tweets, a Twitter sentiment analysis of users' 2015 New Year's resolutions that, per the publisher, contains demographic and geographical data of the users and resolution categorizations. Each tweet has a resolution topic (115 distinct values) and one of 10 resolution categories (1,781 Personal Growth, 1,010 Humor, 840 Health & Fitness, 467 Recreation & Leisure, 351 Family/Friends/Relationships, 176 Finance, 126 Career, 89 Education/Training, 87 Time Management/Organization, 84 Philanthropic). Each row also has the tweet text, the author's screen name and a gender value (2,518 male, 2,493 female), the retweet count, time, free-text location, state, region and time zone; 227 tweets carry coordinates.
Cite this dataset at
ny-resolutions-2015.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 15 topics
Topic 12
Topic 13
Topic 14
- Personal Growth1.8K (36.8%)
- Humor1K (20.9%)
- Health & Fitness840 (17.4%)
- Recreation & Leisure467 (9.6%)
- Family/Friends/Relationships351 (7.3%)
- Finance176 (3.6%)
- Career126 (2.6%)
- Education/Training89 (1.8%)
Computed over the full corpus.
Record
- Catalog key
ny-resolutions-2015- Authors
- CrowdFlower
- Year
- 2015
- Source paper
- 2015 New Year's Resolutions
- License
- CC BY 4.0 (Figure Eight 'Data for Everyone' library) (CC-BY-4.0)
- Records
- 5,011
- Nodes are
- unknown
- Edges are
- unknown
- Text corpus
- tweet text
- Languages
- en
- Collected
- 2014-12-21 to 2015-01-02 (2010s)
- Tasks
- Text classification (multi-class;
resolution_category_label, gender_label, region_label) inferred - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://www.kaggle.com/datasets/andrewmvd/new-years-resolutions link checked
- Original files as received
- The source files, unconverted, kept for reference: mirrored on echo.directory on 2026-10-20, 1.1 MB across 1 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 (5,011 rows), annotations (10,022 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{crowdflower2015newyearsreso,
title = {2015 New Year's Resolutions},
author = {CrowdFlower},
year = {2015},
note = {Data for Everyone library, added 2015-01-03},
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). 2015 New Year's Resolutions on Twitter (CrowdFlower) [Data set]. https://ny-resolutions-2015.echo.directory/
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
CrowdFlower. 2015 New Year's Resolutions on Twitter (CrowdFlower). 2015, ny-resolutions-2015.echo.directory/.