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