A bert model for sms and twitter spam ham classification and comparative study of machine learning and deep learning technique
SS Raga, BL Chaitra - … on recent advances and innovations in …, 2022 - ieeexplore.ieee.org
With the high popularity of online social networks and with the prosperity of the SMS and
Tweets, the increasing number of spam messages has become a severe problem and …
Tweets, the increasing number of spam messages has become a severe problem and …
Spam detection using BERT
T Sahmoud, DM Mikki - arXiv preprint arXiv:2206.02443, 2022 - arxiv.org
Emails and SMSs are the most popular tools in today communications, and as the increase
of emails and SMSs users are increase, the number of spams is also increases. Spam is any …
of emails and SMSs users are increase, the number of spams is also increases. Spam is any …
Spam SMS filtering using recurrent neural network and long short term memory
A Chandra, SK Khatri - 2019 4th international conference on …, 2019 - ieeexplore.ieee.org
SMS is the abbreviation for Short Messaging Service which uses standard protocols for
mobile devices to exchange information via short text messages. Today SMS's are an easy …
mobile devices to exchange information via short text messages. Today SMS's are an easy …
A hybrid CNN-LSTM model for SMS spam detection in arabic and english messages
Despite the rapid evolution of Internet protocol-based messaging services, SMS still remains
an indisputable communication service in our lives until today. For example, several …
an indisputable communication service in our lives until today. For example, several …
Optimizing semantic LSTM for spam detection
Classifying spam is a topic of ongoing research in the area of natural language processing,
especially with the increase in the usage of the Internet for social networking. This has given …
especially with the increase in the usage of the Internet for social networking. This has given …
SMS Spam Detection Using Deep Learning Techniques: A Comparative Analysis of DNN Vs LSTM Vs Bi-LSTM
C Gandhi, PK Sarangi, M Saxena… - 2023 International …, 2023 - ieeexplore.ieee.org
SMS spam detection is crucial for ensuring text messaging systems' security and usability.
Spam messages, also known as unwanted text messages, can be a nuisance and be used …
Spam messages, also known as unwanted text messages, can be a nuisance and be used …
Spam Message Filtering Based on Machine Learning Algorithms and BERT
JR Chandan, GE Dsouza, M George… - … Technologies and Virtual …, 2022 - Springer
The constant traffic of messages keeps increasing whether be it email or SMS. This leads to
a direct increase of attacks from spammers. Mobile spams are particularly threatening as …
a direct increase of attacks from spammers. Mobile spams are particularly threatening as …
Detecting spam SMS using self attention mechanism
Abstract Short Message Service (SMS) is swiftly emerging as the most secure method of
communication due to its extensive coverage, dependability, and power efficiency. When …
communication due to its extensive coverage, dependability, and power efficiency. When …
SMS Spam Detection System Based on Deep Learning Architectures in Turkish and English Messages
Z Albayrak, HC Altunay - 2023 - europepmc.org
SMS still continues its existence despite the emergence of different messaging services. It
takes a part in our lives as a communication service to date. Companies use SMS for …
takes a part in our lives as a communication service to date. Companies use SMS for …
A Robust Model for Effective Spam Detection Based on ALBERT
The issue of spam detection has grown increasingly important in order to maintain adequate
and safe information transmission as a result of the exponential rise of digital communication …
and safe information transmission as a result of the exponential rise of digital communication …