Topic detection model in a single-domain corpus inspired by the human memory cognitive process-Reference-Cited by-同舟云学术

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Topic detection model in a single-domain corpus inspired by the human memory cognitive process

Published:2018-08-09 Issue:19 Volume:30 Page:e4642
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Zhao Taotao¹^ORCID,Luo Xiangfeng¹,Qin Wei¹,Huang Subin¹,Xie Shaorong¹

Affiliation:

1. Shanghai Institute for Advanced Communication and Data Science, School of Computer Engineering and Science; Shanghai University; Shanghai China

Funder

National Natural Science Foundation of China

Shanghai Science International Cooperation Project

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cpe.4642/fullpdf

Reference34 articles.

1. Scientific evolutionary pathways: identifying and visualizing relationships for scientific topics;Zhang;J Assoc Inf Sci Technol,2017

2. Online hot event discovery based on association link network;Liu;Concurrency Computat Pract Exper,2015

3. Topic analysis and forecasting for science, technology and innovation: methodology with a case study focusing on big data research;Zhang;Technol Forecast Soc Change,2016

4. Semantic-based topic detection using Markov decision processes;Chen;Neurocomputing,2017

5. CLARANS: a method for clustering objects for spatial data mining;Ng;IEEE Trans Knowl Data Eng,2002

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1. Automatic content curation of news events;Multimedia Tools and Applications;2022-02-16

2. Probabilistic Topic Models for Enriching Ontology from Texts;SN Computer Science;2020-10-13

3. Financial Topic Detection Algorithm Based on Multi-feature Fusion;Lecture Notes in Electrical Engineering;2020-09-30

4. Neural Entity Synonym Set Generation using Association Information and Entity Constraint;2020 IEEE International Conference on Knowledge Graph (ICKG);2020-08

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