This paper focuses on the detection of comment spam. The behaviors of spammer and the content of spam were analyzed. According to analysis results, two types of ...
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Machine Learning models have the ability to streamline the process by which Youtube video comments are filtered between legitimate comments (ham) and spam.
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Li et al. [6] proposed a new feature extraction method based on the characteristics of spammers and spam comments, and the gradient enhancement tree algorithm ...
The proposed method performs better than the previous method on detection accuracy and the CPU time is recorded to demonstrate that the time spent on both ...
May 22, 2024 · Secondly, we propose a method to integrate metadata for the problem of spam review classification based on combining categorical [7] and textual ...
This paper tries to automatically detect comment spam through content analysis, using some previously-undescribed features. ... Effective Time-Specific ...
This project was all about creating a seamless and efficient spam detection service. Let me take you through how the team and I put it all together. The ...
choice is critical in increasing the effectiveness of spam comment filtering on online platforms. Innovative classifiers, though easy to implement, like the ...
The authors analyze different high-level features of spam and legitimate comments based on the content of blog postings. The authors use these features to ...
Jul 21, 2022 · Spammer detection is essentially a process of judging the authenticity of users, and thus can be regarded as a classification problem.