Sep 12, 2019 · In this paper, we propose the use of association rules and a novel generalization of these based on emotions to analyze data from the social network Twitter.
In this paper, we propose the use of association rules and a novel generalization of these based on emotions to analyze data from the social network Twitter.
Jun 17, 2019 · With this, it is possible to summarize a great set of tweets in rules based on 8 basic emotions. These rules can be used to categorize the ...
Bibliographic details on Generalized Association Rules for Sentiment Analysis in Twitter.
Generalized Association Rules for Sentiment Analysis in Twitter · List of references · Publications that cite this publication.
In this paper, we propose the use of association rules and a novel generalization of these based on emotions to analyze data from the social network Twitter.
The proposed TweM Tweet Miner framework entails the discovery of hidden and high level correlations, in the form of generalized association rules, ...
Original Citation: Cagliero L.; Fiori A. (2013). Discovering Generalized Association Rules from Twitter. In: INTELLIGENT DATA ANALYSIS, vol. 17 n. 4, pp.
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Generalized Association Rules for Sentiment Analysis in Twitter. J. Diaz-Garcia, M. Ruiz, and M. Martín-Bautista. FQAS, volume 11529 of Lecture Notes in ...
This paper presents the TweM Tweet Miner framework that entails the discovery of hidden and high level correlations, in the form of generalized association ...