The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series
Open accessAbstract
We connect measures of public opinion measured from polls with sentiment measured from text. We analyze several surveys on consumer confidence and political opinion over the 2008 to 2009 period, and find they correlate to sentiment word frequencies in contempora- neous Twitter messages. While our results vary across datasets, in several cases the correlations are as high as 80%, and capture important large-scale trends. The re- sults highlight the potential of text streams as a substi- tute and supplement for traditional polling. consumer confidence and political opinion, and can also pre- dict future movements in the polls. We find that temporal smoothing is a critically important issue to support a suc- cessful model.
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Cites
Introduction to information retrieval
(2009) · Choice Reviews Online · doi:10.5860/choice.46-2715 · Cited by 12,278
Introduction to Information Retrieval
Manning, C. D., Raghavan, P., & Schütze, H. (2008) · doi:10.1017/cbo9780511809071 · Cited by 11,288
Breitung, J., & Hamilton, J. D. (1995) · Contemporary Sociology · doi:10.2307/2076916 · Cited by 10,966
Opinion Mining and Sentiment Analysis
Pang, B., & Lee, L. (2008) · now publishers, Inc. eBooks · doi:10.1561/9781601981516 · Cited by 6,720
Recognizing contextual polarity in phrase-level sentiment analysis
Wilson, T., Wiebe, J., & Hoffmann, P. (2005) · Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing - HLT '05 · doi:10.3115/1220575.1220619 · Cited by 3,345
Booth, D. E. (1997) · Technometrics · doi:10.1080/00401706.1997.10485448 · Cited by 3,201
Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards
Antweiler, W., & Frank, M. Z. (2004) · The Journal of Finance · doi:10.1111/j.1540-6261.2004.00662.x · Cited by 2,373
Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web
Das, S. R., & Chen, M. Y. (2007) · Management Science · doi:10.1287/mnsc.1070.0704 · Cited by 1,396
National Surveys Via Rdd Telephone Interviewing Versus the Internet
Chang, L., & Krosnick, J. A. (2009) · Public Opinion Quarterly · doi:10.1093/poq/nfp075 · Cited by 955
Topic sentiment mixture: modeling facets and opinions in weblogs
Mei, Q., Ling, X., Wondra, M., Su, H., & Zhai, C. (2007) · Proceedings of the 16th international conference on World Wide Web · doi:10.1145/1242572.1242596 · Cited by 801
Cited by
Twitter mood predicts the stock market
Bollen, J., Mao, H., & Zeng, X. (2011) · Journal of Computational Science · doi:10.1016/j.jocs.2010.12.007 · Cited by 5,206
“It has been successfully used to analyze the emotional content of large collections of tweets [26] by using the OF lexicon to determine the ratio of positive versus negative tweets on a given day.”
MethodEmotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior
Stieglitz, S., & Dang-Xuan, L. (2013) · Journal of Management Information Systems · doi:10.2753/mis0742-1222290408 · Cited by 1,604
Sentiment strength detection for the social web
Thelwall, M., Buckley, K., & Paltoglou, G. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21662 · Cited by 1,062
Birds of the Same Feather Tweet Together. Bayesian Ideal Point Estimation Using Twitter Data
Barbera, P. (2012) · doi:10.2139/ssrn.2108098 · Cited by 983
Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data
Barberá, P. (2015) · Political Analysis · doi:10.1093/pan/mpu011 · Cited by 982
Metadata
- Authors
- O'Connor, B., Balasubramanyan, R., Routledge, B., & Smith, N.
- Venue
- Proceedings of the International AAAI Conference on Web and Social Media
- Published
- 2010-05-16
- Volume
- 4
- Issue
- 1
- Pages
- 122-129
- ISSN
- 2162-3449 (ISSN-L)
- 2334-0770
- OpenAlex
- W2122369144
- Cited by
- 1,923
- References
- 18
- FWCI
- 93.82
- Type
- conference paper
- Language
- en
- Open access
- diamond
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- O'Connor, B., Balasubramanyan, R., Routledge, B., & Smith, N. (2010). From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series. Proceedings of the International AAAI Conference on Web and Social Media. https://doi.org/10.1609/icwsm.v4i1.14031
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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