A time-sensitive model to predict topic popularity in news providers1-Reference-Cited by-同舟云学术

A time-sensitive model to predict topic popularity in news providers1

Published:2020-12-04 Issue: Volume:24 Page:123-140
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Prado-Romero Mario Alfonso¹,Coto-Santiesteban Alex²,Celi Alessandro³,Stilo Giovanni³

Affiliation:

1. University of Havana, Havana, Cuba

2. Gran Sasso Science Institute, Italy

3. University of L’Aquila, Italy

Abstract

The volume of news increases everyday, triggering competition for users’ attention. Predicting which topics will become trendy has many applications in domains like marketing or politics, where it is crucial to anticipate how much interest a product or a person will attract. We propose a model for representing topic popularity behavior across time and to predict if a topic will become trendy in the future. Furthermore, we tested our proposal on a real data set from Yahoo News and analyzed the performance of various classifiers for the topic popularity prediction task. Experiments confirmed the validity of the proposed model.

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference28 articles.

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