Abstract
Huge volumes of very short microblog messages usually contain diverse contents that make it difficult to detect interesting topics. In this paper, we propose an opinion aggregation approach based on message influence and hot topic detection in microblogs. First, message popularity is estimated from the content features and structural statistics. Then, hot topics are identified from popular messages and opinion orientations are accumulated from the corresponding responses. In our evaluation on Plurk, the aggregated opinions on 2012 Taiwan Presidential Election showed a high accuracy of 98.74%. This shows the effectiveness of our proposed approach. Further investigation is needed for applying the proposed approach to other domains.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Dong, Z., Dong, Q.: HowNet and the Computation of Meaning, World Scientific Publishing Co. Ltd. (2006), Dictionary available at http://www.keeenage.com/
Gayo-Avello, D., Metaxas, P., Mustafaraj, E.: Limits of Electoral Predictions Using Social Media Data. In: 5th International Conference on Weblogs and Social Media (ICWSM 2011), pp. 178–185. AAAI (2011)
Ho, C.T., Li, C.T., Lin, S.D.: Modeling and Visualizing Information Propagation in a Micro-blogging Platform. In: 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011), pp. 328-335. IEEE Press (2011)
Ku, L., Chen, H.: Mining Opinions from the Web: Beyond Relevance Retrieval. Journal of the American Society for Information Science and Technology (JASIST), Special Issue on Mining Web Resources for Enhancing Information Retrieval 58(12), 1838–1850 (2007), Dictionary available at: http://nlg18.csie.ntu.edu.tw:8080/opinion/index.html
Kwak, H., Lee, C., Park, H., Moon, S.: What is Twitter, a Social Network or a News Media? In: 19th International Conference on World Wide Web (WWW 2010), pp. 591–600. ACM (2010)
Li, R., Lei, K., Khadiwala, R., Chang, K.: TEDAS: a Twitter based Event Detection and Analysis System. In: 28th IEEE International Conference on Data Engineering (ICDE 2012), pp. 1273–1276. IEEE Press (2012)
Pak, A., Paroubek, P.: Twitter as a Corpus for Sentiment Analysis and Opinion Mining. In: International Conference on Language Resources and Evaluation (LREC 2010), pp. 1320–1326. ELRA (2010)
Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake Shakes Twitter Users: Real-time Event Detection by Social Sensors. In: 19th International Conference on World Wide Web (WWW 2010), pp. 851–860. ACM (2010)
Sankaranarayanan, J., Samet, H., Teitler, B.E., Lieberman, M.D., Sperling, J.: TwitterStand: News in Tweets. In: 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS 2009), pp. 42–51. ACM (2009)
Skoric, M., Poor, N., Achananuparp, P., Lim, E., Jiang, J.: Tweets and Votes: a Study of the 2011 Singapore General Election. In: 45th Hawaii International Conference on System Sciences (HICSS), pp. 2583–2591. IEEE (2012)
Suh, B., Hong, L., Pirolli, P., Chi, E.H.: Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network. In: 2010 IEEE Second International Conference on Social Computing (SocialCom 2010), pp. 177–184. IEEE (2010)
Sun, Y., Chen, C., Liu, C., Liu, C., Soo, V.: Sentiment Classification of Short Chinese Sentences. In: 22nd Conference on Computational Linguistics and Speech Processing (ROCLING 2010), pp. 184–198. ACL (2010) (in Chinese)
Tang, Y., Chen, H.: Emotion Modeling from Writer/Reader Perspective Using a Microblog Dataset. In: Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2011), pp. 11–19. ACL (2011)
Tumasjan, A., Sprenger, T., Sandner, P., Welpe, I.: Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment. In: 4th International AAAI Conference on Weblogs and Social Media (ICWSM 2010), pp. 178–185. AAAI (2010)
Weng, J., Lee, B.: Event Detection in Twitter. In: Fifth International Conference on Weblogs and Social Media (ICWSM 2011), pp. 401–408. ACM (2011)
Weng, J.Y., Yang, C.L., Chen, B.N., Wang, Y.K., Lin, S.D.: IMASS: An Intelligent Microblog Analysis and Summarization System. In: 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011 System Demonstrations), pp. 133–138. ACL (2011)
Yang, Z.H., Kao, H.Y.: The Clustering of Hot Topics on Plurk. Journal of Computers 22(2), 3–10 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Liu, HC., Wang, JH. (2012). Aggregating Opinions on Hot Topics from Microblog Responses. In: Hou, Y., Nie, JY., Sun, L., Wang, B., Zhang, P. (eds) Information Retrieval Technology. AIRS 2012. Lecture Notes in Computer Science, vol 7675. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35341-3_40
Download citation
DOI: https://doi.org/10.1007/978-3-642-35341-3_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35340-6
Online ISBN: 978-3-642-35341-3
eBook Packages: Computer ScienceComputer Science (R0)