A New Approach for Group Spam Detection in Social Media for Arabic Language (AGSD)
2016
Social media is the new upcoming logical marketing field.Nowadays, social media has become an appreciated data source.Data collected from Twitter, for instance, can be used to conclude people's opinions for marketing or social studies.However, group spammers that aim to promote or damage certain product for the sake of making unjustified profit is a real challenge.In this study, we proposed a new approach to detect group spammers in social media from Arabic text.The proposed approach "AGSD" uses Apache Lucene with Nutch and Solr open sources to collect Arabic tweets.Then, the suspected group spammers can be detected by applying both a group and individual spam detection techniques.