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Detecting spammers and content promoters in online video social networks, , , , и . Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, стр. 620--627. New York, NY, USA, ACM, (2009)Assessing the quality of textual features in social media, , , , , , и . Information Processing & Management, 49 (1): 222--247 (2013)Evidence of quality of textual features on the web 2.0, , , , , , , и . CIKM '09: Proceeding of the 18th ACM conference on Information and knowledge management, стр. 909--918. New York, NY, USA, ACM, (2009)SentiBench-a benchmark comparison of state-of-the-practice sentiment analysis methods, , , , и . EPJ Data Science, 5 (1): 1--29 (2016)Learning to Assess the Quality of Scientific Conferences: A Case Study in Computer Science, , , и . Proceedings of the 9th ACM/IEEE-CS Joint Conference on Digital Libraries, стр. 193--202. New York, NY, USA, ACM, (2009)A Survey on Tag Recommendation Methods, , и . J. Assoc. Inf. Sci. Technol., 68 (4): 830--844 (апреля 2017)Exploiting User Feedback to Learn to Rank Answers in Q&\#38;a Forums: A Case Study with Stack Overflow, , , и . Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval, стр. 543--552. New York, NY, USA, ACM, (2013)Analyzing the dynamic evolution of hashtags on twitter: a language-based approach, , , , , и . Proceedings of the Workshop on Languages in Social Media, стр. 58--65. Association for Computational Linguistics, (2011)Beyond Relevance: Explicitly Promoting Novelty and Diversity in Tag Recommendation, , , , и . ACM Trans. Intell. Syst. Technol., 7 (3): 26:1--26:34 (февраля 2016)Learning to deduplicate, , , и . Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries, стр. 41--50. New York, NY, USA, ACM, (2006)