Predicting elections from social networks based on sub-event detection and sentiment analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8787, Issue , 2014, Pages

  Unankard, Sayan ^a   Li, Xue ^a   Sharaf, Mohamed ^a   Zhong, Jiang ^b   Li, Xueming ^b  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Election prediction; Event detection; Micro blogs; Sentiment analysis

Indexed keywords

SENTIMENT ANALYSIS; DATA MINING;

EVENT DETECTION; INFORMED DECISION; REAL-TIME PREDICTION; REAL-WORLD; RESEARCH ISSUES; SOCIAL EVENTS; SUB-EVENTS; TREND ANALYSIS; SENTIMENT ANALYSIS;

FORECASTING;

EID: 84921465472     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-11746-1_1     Document Type: Article

References (23)

1. O’Connor, B., Balasubramanyan, R., Routledge, B.R., Smith, N.A.: From tweets to polls: Linking text sentiment to public opinion time series. In: ICWSM, pp. 122–129 (2010)
2. Tumasjan, A., Sprenger, T.O., Sandner, P.G., Welpe, I.M.: Predicting elections with twitter: What 140 characters reveal about political sentiment. In: ICWSM, pp. 178–185 (2010)
3. Sang, E.T.K., Bos, J.: Predicting the 2011 dutch senate election results with twitter. In: EACL Workshop on Semantic Analysis in Social Media, pp. 53–60 (2012)
4. Makazhanov, A., Rafiei, D.: Predicting political preference of twitter users. In: ASONAM, pp. 298–305 (2013)
5. Jungherr, A., Jurgens, P., Schoen, H.: Why the pirate party won the german election of 2009 or the trouble with predictions: A response to tumasjan, a., sprenger, t. o., sander, p. g., & welpe, i. m. “predicting elections with twitter: What 140 characters reveal about political sentiment”. Soc. Sci. Comput. Rev. 30(2), 229–234 (2012)
6. Metaxas, P.T., Mustafaraj, E., Gayo-Avello, D.: How (not) to predict elections. In: SocialCom/PASSAT, pp. 165–171 (2011)
7. Gayo-Avello, D.: I wanted to predict elections with twitter and all i got was this lousy paper - a balanced survey on election prediction using twitter data. CoRR abs/1204.6441, 1–13 (2012)
8. Abel, F., Hauff, C., Houben, G.J., Stronkman, R., Tao, K.: Semantics + filtering + search = twitcident. exploring information in social web streams. In: HT, pp. 285–294 (2012)
9. Marcus, A., Bernstein, M.S., Badar, O., Karger, D.R., Madden, S., Miller, R.C.: Twitinfo: aggregating and visualizing microblogs for event exploration. In: CHI, pp. 227–236 (2011)
10. Meng, X., Wei, F., Liu, X., Zhou, M., Li, S., Wang, H.: Entity-centric topic-oriented opinion summarization in twitter. In: KDD, pp. 379–387 (2012)
11. Wang, H., Can, D., Kazemzadeh, A., Bar, F., Narayanan, S.: A system for real-time twitter sentiment analysis of 2012 u.s. presidential election cycle. In: ACL (System Demonstrations), pp. 115–120 (2012)
12. Ringsquandl, M., Petkovic, D.: Analyzing political sentiment on twitter. In: AAAI Spring Symposium: Analyzing Microtext, pp. 40–47 (2013)
13. Unankard, S., Li, X., Sharaf, M.A.: Emerging event detection in social networks with location sensitivity. World Wide Web, 1–25 (2014)
14. Jurafsky, D., Martin, J.H.: Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall (2000)
15. Gimpel, K., Schneider, N., O’Connor, B., Das, D., Mills, D., Eisenstein, J., Heilman, M., Yogatama, D., Flanigan, J., Smith, N.A.: Part-of-speech tagging for twitter: Annotation, features, and experiments. In: ACL, pp. 42–47 (2011)
16. Hu, M., Liu, B.: Mining and summarizing customer reviews. In: KDD, pp. 168–177 (2004)
17. González-Ibáñez, R., Muresan, S., Wacholder, N.: Identifying sarcasm in twitter: A closer look. In: ACL, pp. 581–586 (2011)
18. Cochran, W.G.: Sampling techniques. Wiley, New York (1977)
19. Wilson, T., Wiebe, J., Hoffmann, P.: Recognizing contextual polarity in phraselevel sentiment analysis. In: HLT/EMNLP, pp. 347–354 (2005)
20. RoyMorgan: Two party preferred voting intention (%)., http://www.roymorgan.com/morganpoll/federal-voting/ 2pp-voting-intention-recent-2013-2016 (accessed: July 7, 2014)
21. ReachTel: Two party preferred result based on (2010), election distribution, https://www.reachtel.com.au/blog/7-news-national-poll-5september13 (accessed: July 7, 2014)
22. NewsPoll: Two party preferred, http://polling.newspoll.com.au.tmp.anchor.net.au/image_uploads/130922 (accessed: July 7, 2014)
23. Essential: Two party preferred, federal politics – voting intention, http://essentialvision.com.au/documents/essential_report_130905.pdf (accessed: July 7, 2014)