In this paper we propose an emotional aware clustering approach which performs sentiment analysis of users tweets on the basis of an emotional dictionary and ...
In this paper we propose an emotional aware clustering approach which performs sentiment analysis of users tweets on the basis of an emotional dictionary.
Since millions of users share opinions on different aspects of life everyday, microblogging websites are considered as a credible source for exploring both ...
This page is a summary of: Emotional Aware Clustering on Micro-blogging Sources , January 2011, Springer Science + Business Media, DOI: 10.1007/978-3-642-24600- ...
Oct 9, 2011 · ... The principle behind this approach is to classify the terms and moods identified according to an emotion-based dictionary. Several recent ...
Capturing people's feelings, predicting their reactions to events, and generating suitable emotions are typical tasks in emotion mining. In this article we have ...
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The methodology adopted involves the monitoring of the emotions' intensity, i.e. how strong or weak the emotional states of the published information are. The ...
Jun 5, 2013 · Title: Emotional Aware Clustering on Micro-Blogging Sources. Authors: Tsagkalidou K., Koutsonikola V., Vakali A., Kaffetsios K.
Jun 17, 2022 · In this thesis, the author mainly studies the relevant content of the COVID-19 epidemic on. Micro-blog, analyzes and forecast the emotion ...
Emotional aware clustering on micro-blogging sources. K Tsagkalidou, V Koutsonikola, A Vakali, K Kafetsios. Affective Computing and Intelligent Interaction ...