High-level twitter

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High-level twitter

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A Comprehensive Low and High-level Feature Analysis for Early Rumor Detection on Twitter

Recent work have done a good job in modeling rumors and detecting them over microblog streams. However, the performance of their automatic approaches are not relatively high when looking early in the diffusion. A first intuition is that, at early stage, most of the aggregated rumor features (e.g., propagation features) are not mature and distinctive enough. The objective of rumor debunking in m...

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A High-Performance Model based on Ensembles for Twitter Sentiment Classification

Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are numerous web sites built on the Internet presenting Twitter. The user can enter a sentiment ta...

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Psychological language on Twitter predicts county-level heart disease mortality.

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Analysis of Twitter Data Using a Multiple-level Clustering Strategy

Twitter, currently the leading microblogging social network, has attracted a great body of research works. This paper proposes a data analysis framework to discover groups of similar twitter messages posted on a given event. By analyzing these groups, user emotions or thoughts that seem to be associated with specific events can be extracted, as well as aspects characterizing events according to...

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ژورنال

عنوان ژورنال: Current Biology

سال: 2009

ISSN: 0960-9822

DOI: 10.1016/j.cub.2009.04.042