This report compares the performance of three machine learning techniques for spam detection including Random Forest (RF), k-Nearest Neighbours (kNN) and Support Vector Machines (SVM).
The idea of automatically classifying spam and non-spam emails by applying machine learning methods has been popular in academia and has been a topic of interest for many researchers.
This comparison is a real-time process, and therefore the main drawback of this approach is that the kNN algorithm must compute the distance and sort all the training data for each prediction, which can be slow if given a large training dataset (James, Witten, Hastie, & Tibshirani, 2013, pp.
We determine from the results that k-Nearest Neighbours (kNN) and Support Vector Machine (SVM) perform similar weak regarding accuracy and Random Forest (RF) outperforms both.
Therefore due to its design Random Forest performs relatively well "out-of-the-box" compared to k-Nearest Neighbours and Support Vector Machine.
Last month, Twitter announced a number of new rules on how users and apps can automate tweets in an effort to cut down on spam and bots that spread propaganda.
A Twitter spokesperson pointed The Verge to new rules that the company rolled out in a broader effort to combat spam, which state that violators run the risk of having their accounts being temporarily or permanently suspended.
In February, Twitter said that it would remove the ability for third-party platforms like Tweetdeck to like, retweet, or send out identical tweets from multiple accounts to cut down on a practice known as “Tweetdecking.” At the same time that the rules were rolled out, the company cracked down on a number of bots.
Users might hate it, but Facebook is now testing a self-serve sponsored messaging tool for small businesses that aren’t sophisticated enough to build bots.
TechCrunch first reported back in November Facebook internally building a prototype of the Messenger Broadcast tool that let companies blast a message to anyone who’s already started a conversation with them.
But with display ads injected into the inbox, sponsored message ads from big brands and now Messenger Broadcasts, Facebook risks its chat app becoming our new spam folder.
Using the Messenger Broadcast Composer, small businesses with no coding skills can choose a subset of people who’ve messaged them to hit with a text blast.
“But we got feedback from small businesses that they don’t have the know-how or the tech resources to build experiences on the Messenger Platform (bots) that would enable them to reach their entire audience,” a Facebook spokesperson tells me.