A multi-relational term scheme for first story detection-Reference-Cited by-同舟云学术

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A multi-relational term scheme for first story detection

Published:2017-09 Issue: Volume:254 Page:42-52
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Rao Yanghui,Li Qing,Wu Qingyuan,Xie Haoran^ORCID,Wang Fu Lee,Wang Tao

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference44 articles.

1. Unified analysis of streaming news;Ahmed,2011

2. Topic models over text streams: a study of batch and online unsupervised learning;Banerjee,2007

3. Dynamic topic models;Blei,2006

4. Latent Dirichlet allocation;Blei;J. Mach. Learn. Res.,2003

5. A system for new event detection;Brants,2003

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1. A novel term weighting scheme for text classification: TF-MONO;Journal of Informetrics;2020-11

2. Generic metadata representation framework for social-based event detection, description, and linkage;Knowledge-Based Systems;2020-01

3. Topic Detection and Tracking Based on Event Ontology;IEEE Access;2020

4. Temporal event searches based on event maps and relationships;Applied Soft Computing;2019-12

5. Improved inverse gravity moment term weighting for text classification;Expert Systems with Applications;2019-09

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