Inferring spread of readers’ emotion affected by online news

Depending on the reader, A news article may be viewed from many different perspectives, thus triggering different (and possibly contradicting) emotions. In this paper, we formulate a problem of predicting readers’ emotion distribution affected by a news article. Our approach analyzes affective annot...

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Bibliographic Details
Main Authors: SULISTYA, Agus, THUNG, Ferdian, LO, David
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2017
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/3961
https://ink.library.smu.edu.sg/context/sis_research/article/4963/viewcontent/ReaderEmotion_2017_afv.pdf
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Institution: Singapore Management University
Language: English