CrowdE: Filtering tweets for direct customer engagements

Proceedings of the 7th International Conference on Weblogs and Social Media, ICWSM 2013

Volumn , Issue , 2013, Pages 51-60

  Chen, Jilin ^a   Cypher, Allen ^a   Drews, Clemens ^a   Nichols, Jeffrey ^a  

^a IBM ALMADEN RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PUBLIC RELATIONS; SOCIAL NETWORKING (ONLINE); TOOLS;

COARSE-GRAINED; CUSTOMER RELATIONSHIPS; FILTER ALGORITHM; FILTERING SYSTEMS; MONITORING TOOLS; SOCIAL STREAMS; TASK PERFORMANCE; USER EVALUATIONS;

INTELLIGENT AGENTS;

EID: 84900461922     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Baccianella, S., Esuli, A. and Sebastiani, F. 2010. SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In LREC'10.
2. Bernstein, M., Suh, B., Hong, L., et al 2010. Eddi: Interactive topic-based browsing of social status streams. In UIST'10.
3. Brew, A., Greene, D., and Cunningham, P. 2010. Using crowdsourcing and active learning to track sentiment in online media. In ECAI'10.
4. Chen, J., Nairn, R., Chi, E.H. 2011. Speak little and well: recommending conversations in online social streams. In CHI'11.
5. Diakopoulos, N. A., and Shamma, D. A. 2010. Characterizing debate performance via aggregated Twitter sentiment. In CHI'10.
6. Hennig-Thurau, T., Malthouse, E., Friege, C., et al 2010. The impact of new media on customer relationships. Journal of Service Research, 13 (3). 311-33.
7. Hsueh, P., Melville, P., and Sindhwani, V. 2009. Data quality from crowdsourcing: A study of annotation selection criteria. In HLT'09.
8. Jansen, B. J., Zhang, M., Sobel, K., et al 2009. Twitter power: Tweets as electronic word of mouth. Journal of American Society for Information Science & Technology, 60(11), 2169-2188.
9. Little, G., and Chilton., L. B., Goldman, M., et al 2010. TurKit: Human computation algorithms on Mechanical Turk. In UIST'10.
10. O'Connor, B., Balasubramanyan, R., Routledge, B., et al 2010. From Tweets to polls: Linking text sentiment to public opinion time series. In ICWSM'10.
11. Paek, T., Gamon, M., Counts, S., et al 2010. Predicting the importance of newsfeed posts and social network friends. In AAAI'10.
12. Pang, B. and Lee, L. 2008. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval (2).
13. Paul, S. A., Hong, L., and Chi, H. 2011. What is a question? Crowdsourcing tweet categorization. In CHI'11 Workshop.
14. Pollock, S. 1988. A rule-based message filtering system. ACM Trans. Inf. Syst. 6, 3, 232-254.
15. Quinn, A.J., and Bederson, B.B. 2011. Human-machine hybrid computation. In CHI'11 Workshop.
16. Salton, G. and Buckley, C. 1998. Term-weighting approaches in automatic text retrieval. Information Processing and Management 24 (5): 513-523.
17. Shneiderman, B. and Maes, P. 1997. Direct manipulation vs. interface agents. Interactions, 4, 6, 42-61.
18. Snow, R., O'Connor, B., Jurafsky, D., et al. 2008 Cheap and fast-but is it good?: evaluating non-expert annotations for natural language tasks. In EMNLP'08.
19. Witten, I.H., Frank, E., and Hall, M.A. 2011. Data mining: Practical machine learning tools and techniques, 3rd Edition. Morgan Kaufmann.