Complementing Tweets Sentiment Analysis with Semantic Roles

Trandabăţ Diana; Iftene Adrian

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2022-06-12 13:07

SM ISO690:2012

TRANDABĂŢ, Diana, IFTENE, Adrian. Complementing Tweets Sentiment Analysis with Semantic Roles. In: Conference on Mathematical Foundations of Informatics, Ed. 2016, 25-30 iulie 2016, Chișinău. Chișinău, Republica Moldova: "VALINEX" SRL, 2016, pp. 339-348. ISBN 978‐9975‐4237‐4‐8.

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Conference on Mathematical Foundations of Informatics 2016

Conferința "Conference on Mathematical Foundations of Informatics"
2016, Chișinău, Moldova, 25-30 iulie 2016

Complementing Tweets Sentiment Analysis with Semantic Roles

Pag. 339-348

Trandabăţ Diana, Iftene Adrian

Alexandru Ioan Cuza University of Iaşi

Disponibil în IBN: 30 martie 2018

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Slowly but surely, social media replaced the traditional sources of information: people’s need to be constantly updated changed our behavior from buying a newspaper or watching TV, to using a Facebook or Twitter account to visualize, in a customizable manner, the day’s hottest news, with the bonus of being able to also comment on them. This paper presents a method to identify a tweet’s polarity (negative, positive, neutral) using SentiFrameNet, a naïve Bayes classifier and an off-the-self semantic role labeling API.

Cuvinte-cheie
natural language processing, sentiment analysis,

semantic roles

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