Detecting spam campaign in twitter with semantic similarity
نویسندگان
چکیده
منابع مشابه
Detecting Social Spam Campaigns on Twitter
The popularity of Twitter greatly depends on the quality and integrity of contents contributed by users. Unfortunately, Twitter has attracted spammers to post spam content which pollutes the community. Social spamming is more successful than traditional methods such as email spamming by using social relationship between users. Detecting spam is the first and very critical step in the battle of ...
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Paraphrase Identification and Semantic Similarity are two different yet well related tasks in NLP. There are many studies on these two tasks extensively on structured texts in the past. However, with the strong rise of social media data, studying these tasks on unstructured texts, particularly, social texts in Twitter is very interesting as it could be more complicated problems to deal with. We...
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We describe the system we developed to participate in SemEval 2015 Task 1, Paraphrase and Semantic Similarity in Twitter. We create similarity vectors from two-skip trigrams of preprocessed tweets and measure their semantic similarity using our UMBC-STS system. We submit two runs. The best result is ranked eleventh out of eighteen teams with F1 score of 0.599.
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Online reviews have increasingly become a very important resource for consumers when making purchases. Though it is becoming more and more difficult for people to make wellinformed buying decisions without being deceived by fake reviews. Prior works on the opinion spam problem mostly considered classifying fake reviews using behavioral user patterns. They focused on prolific users who write mor...
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Over the last decade, unsolicited bulk email, or spam, has transitioned from a minor nuisance to a major scourge, adversely affecting virtually every Internet user. Industry estimates suggest that the total daily volume of spam now exceeds 120 billion messages per day [10]; even if the actual figure is 10 times smaller, this means thousands of unwanted messages annually for every Internet user ...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2020
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1447/1/012044