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Utilisation exponentielle des réseaux sociaux en médecineStock trading platforms such as TD Ameritrade have recently integrated live Twitter feeds into their web trading interface, displaying company- ... Analysing the effectiveness of Twitter as an equitable community ...We show that by training a topic model on aggregated messages we can obtain a higher quality of learned model which results in significantly better performance ... Information Credibility on Twitter - Computer ScienceThe goals of this ongoing work are as follows: 1. To develop a more robust, representative evaluation data set, based on an analysis of the problem of reranking. who tweets them? An analysis of Twitter user profile descriptionsWe show that our discourse-based bag-of-words model performs well in a noisy medium (Twitter), where it performs better than an existing Twitter-based ... Understanding trust in social media: Twitter - University of East AngliaThe presented study addresses the issue of classifying emotional expressions based on small texts (tweets) extracted from the social network Twitter. In this ... A Review of Deep Learning Models for Twitter Sentiment AnalysisBased on these results, PIXELMOD performs a lot better than Twitter's internal soft moderation approach, which moderated only 521 of those 10,387 images ... Empirical Study of Topic Modeling in TwitterTD surgeons had ... However for surgeons who have a Twitter account, being engaged in more Twitter activity appears to be associated with a higher h-index. Reliably Evaluating Summaries of Twitter Timelines - AAAICollaborative filtering methods are known to provide good results given enough data. They suf- fer from the infamous sparse data and cold start. Sentiment Analysis in Twitter with Lightweight Discourse AnalysisOverall, the proposed CVSTGCN-SA-TD model shows great promise for improving sentiment analysis on Twitter data, providing more accurate and e±cient insights. An Ensemble Machine Learning Approach for Twitter Sentiment ...In this paper, we propose a novel detection model based on tree transformer to better utilize user interactions in the dialogue where post-level self-attention ... Debunking Rumors on Twitter with Tree Transformer - SciSpaceWe monitored the 1% tweet sample, and each time td we found a tweet containing a new URL (shortened by bit.ly) from one of the five news media we consider ... TDParse: Multi-target-specific sentiment recognition on TwitterDespite not fully capturing semantic and syntactic information given the target entity, they show a much better performance than Dong et al. (2014), indicating.
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