3902726
doi
10.5281/zenodo.3902726
oai:zenodo.org:3902726
user-ts_regression
Christoph Bergmeir
Monash University
Francois Petitjean
Monash University
Geoffrey I Webb
Monash University
News Title Sentiment Dataset
Chang Wei Tan
Monash University
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
time series
regression
<p>This dataset is part of the Monash, UEA & UCR time series regression repository. <a href="http://tseregression.org/">http://tseregression.org/</a></p>
<p>The goal of this dataset is to predict sentiment score for news title. This dataset contains 83164 time series obtained from the News Popularity in Multiple Social Media Platforms dataset from the UCI repository. 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. The time series has 3 dimensions. <br>
<br>
Please refer to <a href="https://archive.ics.uci.edu/ml/datasets/News+Popularity+in+Multiple+Social+Media+Platforms">https://archive.ics.uci.edu/ml/datasets/News+Popularity+in+Multiple+Social+Media+Platforms</a> for more details<br>
<br>
Citation request<br>
Nuno Moniz and Luis Torgo (2018), Multi-Source Social Feedback of Online News Feeds, CoRR</p>
<p> </p>
Zenodo
2020-06-21
info:eu-repo/semantics/other
3902725
user-ts_regression
1616553489.750669
22098721
md5:cbf01effdf6783a5777aa3f44ecb701e
https://zenodo.org/records/3902726/files/NewsTitleSentiment_TEST.ts
51553769
md5:f553899ab287a882941b6bea7e6c9624
https://zenodo.org/records/3902726/files/NewsTitleSentiment_TRAIN.ts
public
10.5281/zenodo.3902725
isVersionOf
doi