As a first step towards accomplishing this goal, we propose to automatically extract wellness events from users' published social contents. Existing approaches ...
Feb 21, 2016 · We propose an optimization learning framework that utilizes the content information of microblogging messages as well as the relations between event categories.
As users' social accounts implicitly reflect their habits, preferences, and feelings, it is feasible for us to monitor and understand the wellness of users by ...
This work proposes an optimization learning framework that utilizes the content information of microblogging messages as well as the relations between event ...
2016. From tweets to wellness: Wellness event detection from Twitter streams. In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16).
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Degeneracy-Based Real-Time Sub-Event Detection in Twitter Stream
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In this paper, we deal with the task of sub-event detection in evolving events using posts collected from the Twitter stream. By representing a sequence of ...
From tweets to wellness: wellness event detection fromstreams, с. 87; Fusing ... Geo-spatial event detection in the twitter stream, с. 356; Event ...
[PDF] An Optimization Approach for Sub-event Detection and ... - LIX
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In this paper, we present a system that generates real-time summaries of events using only posts collected from Twitter. The system both identifies important ...
In this paper, we investigate event detection in the context of real-time Twitter streams as observed in real-world crises. We highlight the key challenges in ...
To infer personal wellness attributes, a proposed multi-source individual user profile learning framework named "TweetFit" is proposed, which can handle ...