Weiguo Fan
Skip Abstract Section
Abstract
How to use, and influence, consumer social communications to improve business performance, reputation, and profit.
- Anderson, T.W. The Statistical Analysis of Time Series. John Wiley & Sons, Inc., New York, 1971.Google Scholar
- Asiedu, Y. and Gu, P. Product life cycle cost analysis: State-of-the-art review. International Journal of Product Research 36, 4 (1998), 883--908.Google ScholarCross Ref
- Billington, C., Lee H., and Tang C. Successful strategies for product rollovers. Sloan Management Review 39, 3 (Apr. 2012).Google Scholar
- Blei, D.M. Probabilistic topic models. Commun. ACM 55, 4 (Apr. 2012), 77--84. Google ScholarDigital Library
- Bonchi, F., Castillo, C., Gionis, A., and Jaimes, A. Social network analysis and mining for business applications. ACM Transactions on Intelligent Systems and Technology 2, 3 (Apr. 2011), 22. Google ScholarDigital Library
- Chen, H., Chiang, R.H.L., and Storey, V. Business intelligence and analytics: From big data to big impact. MIS Quarterly 36, 4 (Dec. 2012), 1165--1188. Google ScholarDigital Library
- Chui, M., Manyika, J., Bughin, J., Dobbs, R., Roxburgh, C., Sarrazin, H., Sands, G., Westergren, M. The Social Economy: Unlocking Value and Productivity Through Social Technologies. Research Report. McKinsey Global Institute, 2012; http://www.mckinsey.com/insights/mgi/research/technology_and_innovation/the_social_economyGoogle Scholar
- Chunara, R., Andrews, J.R., and Brownstein, J.S. Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak. The American Journal of Tropical Medicine and Hygiene 86, 1 (Jan. 2012), 39--45.Google ScholarCross Ref
- Fan, W., Wallace, L., Rich, S., and Zhang, Z. Tapping the power of text mining. Commun. ACM 49, 9 (Sept. 2006), 77--82. Google ScholarDigital Library
- Feldman, R. and Sanger, J. The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data. Cambridge University Press, Cambridge, U.K., 2007. Google ScholarDigital Library
- Gayo-Avello, D. Don't turn social media into another 'Literary Digest' poll. Commun. ACM 54, 10 (Oct. 2011). Google ScholarDigital Library
- Grossberg, S. Nonlinear neural networks: Principles, mechanisms, and architectures. Neural Networks 1, 1 (1988), 17--61.Google ScholarCross Ref
- Hoffman, D. and Fodor, M. Can you measure the ROI of your social media marketing? Sloan Management Review 52, 1 (Fall 2010), 41--49.Google Scholar
- Hofmann, T. Probabilistic latent semantic indexing. In Proceedings of the ACM SIGIR International Conference on Research and Development in Information Retrieval (Berkeley, CA). ACM Press, New York, 1999, 50--57. Google ScholarDigital Library
- Pang, B. and Lee, L. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval 2, 1 (2008), 1--135. Google ScholarDigital Library
- Ramaswamy, V. and Gouillart, F. The Power of Co-Creation. Free Press, London, 2010.Google Scholar
- Rollason, H. Why social media makes customer service better. Mashable (Sept. 29, 2012); http://mashable.com/2012/09/29/social-media-better-customer-service/Google Scholar
- Scott, J. Social Network Analysis. SAGE Publications, Thousand Oaks, CA, 2012.Google Scholar
- Sprott, D., Czellar, S., and Spangenberg, E. The importance of a general measure of brand engagement on market behavior: Development and validation of a scale. Journal of Marketing Research 46, 1 (Feb. 2009), 92--104.Google ScholarCross Ref
- Steinwart, I. and Christmann, A. Support Vector Machines. John Wiley & Sons, Inc., New York, 2008. Google ScholarDigital Library
- Stelzner, M.A. Social Media Marketing Industry Report. 2012; http://www.socialmediaexaminer.com/socialmedia-marketing-industry-report-2012/Google Scholar
- Straley, B. How to: Target social media influencers to boost traffic and sales. Mashable (Apr. 15, 2010); http://mashable.com/2010/04/15/social-media-influencers/Google Scholar
- Thomas, J.J. and Cook, K.A. A visual analytics agenda. IEEE Computer Graphics and Applications 26, 1 (Jan./Feb. 2006), 10--13. Google ScholarDigital Library
- Tufte, E.R. The Visual Display of Quantitative Information, Second Edition. Graphics Press, Cheshire, CT, 2001.Google ScholarDigital Library
- Turney, P. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In Proceedings of the Association for Computational Linguistics (Philadelphia). ACL, Stroudsburg, PA, 2002, 417--424. Google ScholarDigital Library
- Wallach, H.M. Topic modeling: Beyond bag-of-words. In Proceedings of the 23rd International Conference on Machine Learning (Pittsburgh). ACM Press, New York, 2006, 977--984. Google ScholarDigital Library
- Yin, Z., Cao, L., Gu, Q., and Han, J. Latent community topic analysis: Integration of community discovery with topic modeling. ACM Transactions on Intelligent Systems and Technology 3, 4 (Sept. 2012), 1--21. Google ScholarDigital Library
- Zeng, D., Chen, H., Lusch, R., and Li, S-H. Social media analytics and intelligence. IEEE Intelligent Systems 25, 6 (Dec. 2010), 13--16. Google ScholarDigital Library
Recommendations
Social Media Content Analytics beyond the Text: A Case Study of University Branding in Instagram
ACM SE '19: Proceedings of the 2019 ACM Southeast ConferenceSocial media is unarguably one of the wealthiest sources of information. The opinions shared on social platform have an immense influence towards the brands equity. Social media has flourished with platforms like Facebook, Twitter, and Snapchat, etc. ...
Social media user classification: based on social capital expectation, susceptibility, and compulsion loop
ICEC '17: Proceedings of the International Conference on Electronic CommerceSocial media such as Facebook, Instagram and Twitter are originally developed as communication tools among individuals for private conversations. Through the platforms, people share photos, stories and news with their social media friends to interact ...
Comments