[HTML][HTML] ChatGPT: Jack of all trades, master of none

J Kocoń, I Cichecki, O Kaszyca, M Kochanek, D Szydło… - Information …, 2023 - Elsevier
OpenAI has released the Chat Generative Pre-trained Transformer (ChatGPT) and
revolutionized the approach in artificial intelligence to human-model interaction. The first …

A review on mobile SMS spam filtering techniques

MA Shafi'I, MS Abd Latiff, H Chiroma, O Osho… - IEEE …, 2017 - ieeexplore.ieee.org
Under short messaging service (SMS) spam is understood the unsolicited or undesired
messages received on mobile phones. These SMS spams constitute a veritable nuisance to …

A systematic literature review of cyber-security data repositories and performance assessment metrics for semi-supervised learning

PK Mvula, P Branco, GV Jourdan, HL Viktor - Discover Data, 2023 - Springer
Abstract In Machine Learning, the datasets used to build models are one of the main factors
limiting what these models can achieve and how good their predictive performance is …

Tubespam: Comment spam filtering on youtube

TC Alberto, JV Lochter… - 2015 IEEE 14th …, 2015 - ieeexplore.ieee.org
The profitability promoted by Google in its brand new video distribution platform YouTube
has attracted an increasing number of users. However, such success has also attracted …

Text normalization and semantic indexing to enhance instant messaging and SMS spam filtering

TA Almeida, TP Silva, I Santos, JMG Hidalgo - Knowledge-Based Systems, 2016 - Elsevier
The rapid popularization of smartphones has contributed to the growth of online Instant
Messaging and SMS usage as an alternative way of communication. The increasing number …

Towards sms spam filtering: Results under a new dataset

T Almeida, JM Hidalgo, T Silva - International Journal of Information …, 2013 - dergipark.org.tr
The growth of mobile phone users has lead to a dramatic increasing of SMS spam
messages. Recent reports clearly indicate that the volume of mobile phone spam is …

SMS spam filtering using supervised machine learning algorithms

P Navaney, G Dubey, A Rana - 2018 8th international …, 2018 - ieeexplore.ieee.org
This paper presents detection of Spam and ham messages using various supervised
machine learning algorithms like naive Bayes Algorithm, support vector machines algorithm …

Chatlog: Recording and analyzing chatgpt across time

S Tu, C Li, J Yu, X Wang, L Hou, J Li - arXiv preprint arXiv:2304.14106, 2023 - arxiv.org
While there are abundant researches about evaluating ChatGPT on natural language
understanding and generation tasks, few studies have investigated how ChatGPT's behavior …

A fog-augmented machine learning based SMS spam detection and classification system

S Bosaeed, I Katib, R Mehmood - 2020 fifth international …, 2020 - ieeexplore.ieee.org
Smart cities and societies are driving unprecedented technological and socioeconomic
growth in everyday life albeit making us increasingly vulnerable to infinitely and …

SMS spam filtering and thread identification using bi-level text classification and clustering techniques

NK Nagwani, A Sharaff - Journal of Information Science, 2017 - journals.sagepub.com
SMS spam detection is an important task where spam SMS messages are identified and
filtered. As greater numbers of SMS messages are communicated every day, it is very …