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Published in: Soft Computing 13/2020

09-12-2019 | Methodologies and Application

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

Authors: A. Cuzzocrea, G. Pilato

Published in: Soft Computing | Issue 13/2020

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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.

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Metadata
Title
An innovative user-attentive framework for supporting real-time detection and mining of streaming microblog posts
Authors
A. Cuzzocrea
G. Pilato
Publication date
09-12-2019
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 13/2020
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-019-04478-2

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