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News Title Sentiment Dataset - MaRDI portal

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News Title Sentiment Dataset

From MaRDI portal



DOI10.5281/zenodo.3902726Zenodo3902726MaRDI QIDQ6690066

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 21 June 2020

Copyright license: No records found.



This dataset is part of the Monash, UEA UCR time series regression repository.http://tseregression.org/ 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. Please refer tohttps://archive.ics.uci.edu/ml/datasets/News+Popularity+in+Multiple+Social+Media+Platformsfor more details Citation request Nuno Moniz and Luis Torgo (2018), Multi-Source Social Feedback of Online News Feeds, CoRR






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