Evaluation and Ranking Online User Comments

Yıl 2015, Cilt: 36 Sayı: 3, 1395 - 1399, 13.05.2015

Zahra Hariri , Mehran Rezaie

Öz

Abstract. From the viewpoint of online communities, the interactions between users and administrators is vitally important in order to start and maintain a community.

Online newspaper is one of the online communities where the users are able to respond through their comments to the news they read. Indeed, users generally express purposeful emotions in their comments.

In order to use the comments one is required to organize them, considering that they are often in conflict with each other and displayed disorganized. The different approaches in the field of text mining and sentiment analysis have come to help.

Anahtar Kelimeler

Sentiment analysis, ranking comments, online users

Kaynakça

• Sungho Shin, Sangkeun Park, Jinseop Shin, Sa-Kwang Song," Analytics on Online Discussion and Commenting Services",Lecture Notes in Computer Science,IEEE, Vol 8016, 2013, pp 250-258.
• Ying Zhang, Yi Fang, Xiaojun Quan," Emotion Tagging for Comments of Online News by Meta Classification with Heterogeneous Information Sources", 35th international ACM SIGIR conference on Research and development in information retrieval ,2012, pp 1059-1060.
• Pooja Kherwa, Arjit Sachdeva, Dhruv Mahajan Nishtha Pande, Prashast Kumar, “An approach towards comprehensive sentimental data analysis and opinion mining”, Advance Computing Conference (IACC), 2014 IEEE International, 21-22 Feb. 2014,ISBN: 978-1-4799-2571-1,pp:606-612.
• Mina Maleki, Ahmadollah Zade Bar Forush , "New feature weighting method based on class information in classified documents", Twelfth International Conference Forum, Martyr Beheshti University, Tehran,Iran , February 20-22 , 2007.
• Bing Liu,"Sentiment Analysis and Opinion Mining", Morgan &Claypool Publishers, May 2012.
• Diksha Behl, Sahil Handa, Anuja Arora,"A Bug Mining Tool to Identify and Analyze Security Bugs using Naïve Bayes and TF-IDF",2014 International Conference on Reliability, Optimization and Information Technology -ICROIT 2014, India, Feb 6-8 2014.
• Luhn, H.P, “A Statistical Approach to the Mechanized Encoding and Searching of Literary Information” ,IBM Journal of Research and Development, Vol. 1, No. 4, pp.309-317, 1957. 10]
• Salton, G., Yang, C.S., “On the Specification of Term Values in Automatic Indexing”, Journal of Documentation,Vol. 29, No. 4, pp. 351-357, 1973.
• Udwadia, F.E. and Trifunac, M.D. (973), "Ambient Vibration Test of Full Scale Structures",Proc. Of the 5th World Conf. On Earthquake Engineering Rome.