[PDF][PDF] An intelligent auto-response short message service categorization model using semantic index
Short message service (SMS) is one of the quickest and easiest ways used for
communication, used by businesses, government organizations, and banks to send short …
communication, used by businesses, government organizations, and banks to send short …
Multiclass classification approachsms categorization
Y Singhal, Y Varshney, A Goyal… - International Journal of …, 2018 - papers.ssrn.com
The Given study is an aim to implement Natural Language Toolkit text preprocessor
techniques combined with implementation of Machine Learning Algorithm to produce a Multi …
techniques combined with implementation of Machine Learning Algorithm to produce a Multi …
An efficient SMS classification system for disaster response
KS Reddy, MI Reddy, B Rakesh… - AIP Conference …, 2023 - pubs.aip.org
Rescue agencies liNe fire departments, police departments, and health departments need to
identify the important and emergency messages to provide better services to the people. In …
identify the important and emergency messages to provide better services to the people. In …
Automated sms classification and spam analysis using topic modeling
DS Sisodia, S Mahapatra… - … Conference on data …, 2020 - ieeexplore.ieee.org
A huge amount of illegitimate short message service (SMS) messages flood users' mobile
phone inbox and worsen users' experiences. This paper presents an automated framework …
phone inbox and worsen users' experiences. This paper presents an automated framework …
Performance comparison of machine learning algorithms in short message service spam classification
VP Sumathi, V Vanitha… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
With the introduction of short message service (SMS) in the second-generation mobiles, we
find it being exploited by many companies. They tend to spread unwanted advertisements …
find it being exploited by many companies. They tend to spread unwanted advertisements …
[PDF][PDF] A Bi-Level Text Classification Approach for SMS Spam Filtering and Identifying Priority Messages.
NK Nagwani - International Arab Journal of Information Technology …, 2017 - ccis2k.org
Short Message Service (SMS) traffic is increasing day by day and trillions of sms are sent
and received by billions of users every day. Spam messages are also increasing in same …
and received by billions of users every day. Spam messages are also increasing in same …
[PDF][PDF] Sms spam classification using vector space model and artificial neural network
As there are increasing numbers of mobile subscriber and the market demands of reaching
customer personally, Short Message Service (SMS) has become a target of unsolicited text …
customer personally, Short Message Service (SMS) has become a target of unsolicited text …
Development of content‐based SMS classification application by using Word2Vec‐based feature extraction
While mobile instant messaging applications such as WhatsApp, Messenger, Viber offer
benefits to phone users such as price, easy usage, stable, collective and direct …
benefits to phone users such as price, easy usage, stable, collective and direct …
Spam detection in SMS based on feature selection techniques
A Sharaff - Emerging Technologies in Data Mining and Information …, 2019 - Springer
Abstract Short Message Service (SMS) has become the most effective and efficient means of
communication. The popularity for SMS is due to their ease of use. But with the advent of this …
communication. The popularity for SMS is due to their ease of use. But with the advent of this …
SMS spam classification using machine learning techniques
Almost every person today owns a mobile phone with at least the most basic facilities like
messaging and calling. Spam calls are already infamous for the constant ringing of cell …
messaging and calling. Spam calls are already infamous for the constant ringing of cell …