i.e. the SpamAssassin corpus, the Honeypot Project,Footnote7Bruce Guenter collection and the personal mailbox of one of the dataset creators. The creators focused on building a personalised spam dataset and published six sub-datasets for emulating different situations faced by real...
The SMS Spam Collection Dataset contains text messages labeled as 'spam' or 'ham' (non-spam). It's useful for building spam detection tools and learn about machine learning training of supervised learning , and it is basically good for beginnerstext...
To counter this problem, in this paper, multiple classifiers of ML and a classifier of deep learning (DL) were applied to the SMS and e-mail dataset for spam detection with higher accuracy. After conducting experiments on the real dataset, the researchers concluded that the...
Spam Assassin public mail corpus. stdlib datasets dataset data email e-mail mail spam spam assassin ham text classification classifier corpus stdlib-bot• 0.2.2 • 5 months ago • 2 dependents • Apache-2.0published version 0.2.2, 5 months ago2 dependents licensed under $Apache-2.0 86 ...
They affect the security of personal mail and the space-loss from the communication. They affect the time required for identifying spam emails and addressing them. Till today, the email spam detection is still considered a challenging process. That is because the email spam is still happening a...
Faris, H., Aljarah, I., Alqatawna, J.: Optimizing feedforward neural networks using krill herd algorithm for e-mail spam detection. In: 2015 IEEE Jordan conference on applied electrical engineering and computing technologies (AEECT), pp. 1–5 (2015) Hamed, N.O., Samak, A.H., Ahmad...
Exploring Email Classification: Spam Detection Dataset Data CardCode (0)Discussion (0)Suggestions (0) About Dataset This dataset contains a collection of data used for spam detection in emails. The data includes various features extracted from emails, such as subject length, word count, presence of...
This paper investigates policy-based Urdu tweet spam detection. This study aims to collect over 1,100,000 real-time tweets from multiple users. The dataset is carefully filtered to comply with Twitter’s 100-tweet-per-hour limit. For data collection, the snscrape library is utilized, which is...
SMS Spam Detection by Operating on Byte-Level Distributions Using Hidden Markov Models (HMMs). In Proceedings of the 20th Virus Bulletin International Conference, Vancouver, BC, Canada, 29 September–1 October 2010. [Google Scholar] Gordillo, J.; Conde, E. An HMM for detecting spam mail. ...
scanner.getExecutableResults(mail) Accepts amailparser.simpleParserparsed mail Object. Note that this method detects (with respect toexecutables.jsonusing "Content-Type" header detection, file extension detection, andmagic numberdetection. This method returns a Promise that resolves with an Array of mes...