The results obtained show that character n-grams are good features for the detection of opinion spam; they seem to be able to capture better than word n-grams ...
The results obtained show that char- acter n-grams are good features for the detection of opinion spam; they seem to be able to capture better than word n-grams ...
In this paper we consider the detection of opinion spam as a stylistic classification task because, given a particular domain, the de- ceptive and truthful ...
The results obtained show that character n-grams are good features for the detection of opinion spam; they seem to be able to capture better than word n-grams ...
The results obtained show that character n-grams are good features for the detection of opinion spam; they seem to be able to capture better than word n-grams ...
Apr 14, 2015 · The results obtained show that character n-grams are good features for the detection of opinion spam; they seem to be able to capture better ...
Oct 22, 2024 · This paper presents a content-based approach to spam detection based on low-level information. Instead of the traditional 'bag of words' ...
Missing: Opinion | Show results with:Opinion
Detection of Opinion Spam with Character n-grams. D. Fusilier, M. y Gómez, P. Rosso, and R. Guzmán-Cabrera. CICLing (2), volume 9042 of Lecture Notes in ...
In this paper, we explore the feasibility of combining word and character n-grams as a feature for detecting positive and negative deceptive opinions. The ...
Missing: Spam | Show results with:Spam
An ensemble approach for spam detection in Arabic opinion texts
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This paper investigated different classification methods for spam detection in Arabic opinion texts. These methods are Rule-based, Classical Machine Learning, ...