liaad/newspop
This is a large data set of news items and their respective social feedback on multiple platforms: Facebook, Google+ and LinkedIn. The collected data relates to a period of 8 months, between November 2015 and July 2016, accounting for about 100,000 news items on four different topics: economy, microsoft, obama and palestine. This data set is tailored for evaluative comparisons in predictive analytics tasks, although allowing for tasks in other research areas such as topic detection and tracking, sentiment analysis in short text, first story detection or news recommendation.
| Author / organization | liaad |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 423 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 2 March 2022 |
| Last updated at source | 18 January 2024 |
Popularity, last 2 days
423 now (+3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.