Development of content‐based SMS classification application by using Word2Vec‐based feature extraction-Reference-Cited by-同舟云学术

Development of content‐based SMS classification application by using Word2Vec‐based feature extraction

Published:2019-08 Issue:4 Volume:13 Page:295-304
ISSN:1751-8806
Container-title:IET Software
language:en
Short-container-title:IET softw.

Author:

Ballı Serkan¹^ORCID,Karasoy Onur¹^ORCID

Affiliation:

1. Department of Information Systems Engineering Faculty of Technology Muğla Sıtkı Koçman University 48000 Mugla Turkey

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-sen.2018.5046

Reference43 articles.

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2. Graph-based KNN algorithm for spam SMS detection;Ho T.;J. Univers. Comput. Sci.,2013

3. Church K. Oliveira R.D.: ‘What's up with Whatsapp?: comparing mobile instant messaging behaviors with traditional SMS’.15th Int. Conf. Human-Computer Interaction with Mobile Devices and Services Mobile HCI Munich Germany 2013

4. SMS spam filtering: Methods and data

5. Karasoy O. Balli S.: ‘Developing mobile application for content base spam SMS filtering and comparison of classification algorithms’.Int. Artificial Intelligence and Data Processing Symp. Malatya Turkey September 2016 pp.47–53

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