Content still matters. A machine learning model for predicting news longevity from textual and context features-Reference-Cited by-同舟云学术

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Content still matters. A machine learning model for predicting news longevity from textual and context features

Published:2023-07 Issue:4 Volume:60 Page:103398
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Rybinski Krzysztof^ORCID

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference55 articles.

1. Transformer models for text-based emotion detection: A review of BERT-based approaches;Acheampong;Artificial Intelligence Review,2021

2. Tag embedding based personalized point of interest recommendation system;Agrawal;Information Processing & Management,2021

3. Similarities between Arabic dialects: Investigating geographical proximity;Alsudasis;Information Processing & Management,2022

4. Latent Dirichlet allocation;Blei;Journal of Machine Learning Research,2003

5. News at work: Imitation in an age of information abundance;Boczkowski,2010

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Brief Survey on Exploring the Application Areas and Scope of ChatGPT;Engineering Cyber-Physical Systems and Critical Infrastructures;2024

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