NDLI: Development of content-based SMS classification application by using Word2Vec-based feature extraction

Content Provider	IET Digital Library
Author	Ballı, Serkan Karasoy, Onur
Abstract	While mobile instant messaging applications such as WhatsApp, Messenger, Viber offer benefits to phone users such as price, easy usage, stable, collective and direct communication, SMS (short message service) is still considered a more reliable privacy-preserving technology for mobile communication. This situation directs the institutions that want to perform the product promotion such as advertising, informing, promotion etc. to use SMS. However, spam messages sent from unknown sources constitute a serious problem for SMS recipients. In this study, a content-based classification model which uses the machine learning to filter out unwanted messages is proposed. From the selected dataset, the model to be used in the classification is created with the help of Word2Vec word embedding tool. Thanks to this model, two new features are revealed for calculating the distances of messages to spam and ham words. The performances of the classification algorithms are compared by taking these two new features into consideration. The random forest method succeeded with a correct accuracy rate of 99.64%. In comparison to other studies using the same dataset, more successful correct classification percentage is achieved.
Starting Page	295
Ending Page	304
Page Count	10
ISSN	17518806
Volume Number	13
e-ISSN	17518814
Issue Number	Issue 4, Aug (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-sen/13/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-sen.2018.5046
Journal	IET Software
Publisher Date	2018-10-19
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Classification Algorithm Collective Communication Content-based Classification Model Content-based SMS Classification Application Data Privacy Data Security Direct Communication Document Processing Technique E-mail Filter Electronic Messaging Feature Extraction Ham Words Knowledge Engineering Technique Learning in AI Mobile Communication Mobile Computing Mobile Instant Messaging Application Pattern Classification Pervasive Computing Phone User Product Promotion Promotion Etc Reliable Privacy-preserving Technology Serious Problem Short Message Service SMS Recipients Spam Messages Stable Communication Successful Correct Classification Percentage Ubiquitous Unknown Source Unsolicited E-mail Unwanted Messages Viber Offer Benefits Word2Vec Word Embedding Tool Word2Vec-based Feature Extraction
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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