In this paper, we present a modular system capable of catching the attention of a new user, to detect in real-time events and emotions related to them in a stream of microblog posts. The system is capable of making social sensing and exploiting the information arising on the Internet through user-generated contents, and it is equipped with a conversational engine that manages the interaction with the human user. The whole approach can be applied either by a human user or a robot, which remains a future application to be further improved in the context of our proposed system.

An innovative user-attentive framework for supporting real-time detection and mining of streaming microblog posts

Cuzzocrea A
;
Pilato G
2020

Abstract

In this paper, we present a modular system capable of catching the attention of a new user, to detect in real-time events and emotions related to them in a stream of microblog posts. The system is capable of making social sensing and exploiting the information arising on the Internet through user-generated contents, and it is equipped with a conversational engine that manages the interaction with the human user. The whole approach can be applied either by a human user or a robot, which remains a future application to be further improved in the context of our proposed system.
2020
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Attentive user management systems
Opinion mining
Real-time detection of streaming microblog posts
Real-time mining of streaming microblog posts
Sentiment mining
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Descrizione: An innovative user-attentive framework for supporting real-time detection and mining of streaming microblog posts
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/414933
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