Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web

References

• Admati A., Pfleiderer P. Noisytalk.com: Broadcasting opinions in a noisy environment. (2000) . Working Paper 1670R, Stanford University, Stanford, CAGoogle Scholar
• Antweiler W., Frank M. Internet stock message boards and stock returns. (2002) . Working paper, University of British Columbia, Vancouver, BC, CanadaGoogle Scholar
• Antweiler W., Frank M. Is all that talk just noise? The information content of Internet stock message boards. J. Finance (2004) 59(3):1259–1295Crossref, Google Scholar
• Antweiler W., Frank M. The market impact of news stories. (2005) . Working paper, University of British Columbia, Vancouver, BC, CanadaGoogle Scholar
• Bagnoli M., Beneish M. D., Watts S. G. Whisper forecasts of quarterly earnings per share. J. Accounting Econom. (1999) 28(1):27–50Crossref, Google Scholar
• Chakrabarti S., Dom B., Indyk P. Enhanced hypertext categorization using hyperlinks. Proc. 1998 ACM SIGMOD Internat. Conf. Management Data (1998) (ACM Press, New York) 307–318Crossref, Google Scholar
• Chakabarti S., Roy S., Soundalgekar M. V. Fast and accurate text classification via multiple linear discriminant projections. VLDB J. (2003) 12(2):170–185Crossref, Google Scholar
• Chakrabarti S., Dom B., Agrawal R., Raghavan P. Scalable feature selection, classification and signature generation for organizing large text databases into hierarchical topic taxonomies. VLDB J. (1998) 7(3):163–178Crossref, Google Scholar
• Charniak E.Statistical Language Learning (1993) (MIT Press, Cambridge, MA) Google Scholar
• Choi J., Laibson D., Metrick A. Does the Internet increase trading? Evidence from investor behavior in 401(k) plans. J. Financial Econom. (2002) 64:397–421Crossref, Google Scholar
• Das S., Martinez-Jerez A., Tufano P. e-Information. Financial Management (2005) 34(5):103–137Crossref, Google Scholar
• Godes D., Mayzlin D. Using online conversations to study word of mouth communication. Marketing Sci. (2004) 23(4):545–560Link, Google Scholar
• Joachims T., Scholkopf B., Burges C., Smola A. Making large-scale SVM learning practical. Advances in Kernel Methods—Support Vector Learning (1999) (MIT Press, Cambridge, MA) 243–253Google Scholar
• Koller D., Sahami M. Hierarchically classifying documents using very few words. Internat. Conf. on Machine Learning (1997) 14(Morgan-Kaufmann, San Mateo, CA) Google Scholar
• Lam S. L., Myers J. Dimensions of website personas. (2001) . Working paper, University of California, Berkeley, CAGoogle Scholar
• Lavrenko V., Schmill M., Lawrie D., Ogilvie P., Jensen D., Allen J. Mining of concurrent text and time series. Proc. Knowledge Discovery Data Mining, 2000 Conf. Text Mining Workshop (2000) 37–44Google Scholar
• Leinweber D., Madhavan A. Three hundred years of stock market manipulation. J. Investing (2001) 10:7–16Crossref, Google Scholar
• Lo A. W., MacKinlay A. C. When are contrarian profits due to stock market overreaction? Rev. Financial Stud. (1990) 3(2):175–205Crossref, Google Scholar
• McCallum A.Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering (1996) . School of Computer Science, Carnegie-Mellon University, Pittsburgh, PA, http://www.cs.umass.edu/∼mccallum/code-data.htmlGoogle Scholar
• Minsky M.Society of Mind (1985) (Simon & Schuster, New York) Google Scholar
• Mitchell T.Machine Learning (1997) (McGraw-Hill, New York) Google Scholar
• Morville P.Ambient Findability (2005) (O'Reilly, Sebastopol, CA) Google Scholar
• Neal R. Bayesian learning for neural-networks. Lecture Notes in Statistics (1996) 118(Springer-Verlag, New York) Google Scholar
• Pang B., Lee L., Vaithyanathan S. Thumbs up? Sentiment classification using machine learning techniques. Proc. Conf. Empirical Methods Nat. Language Processing (2002) 79–86Google Scholar
• Stone A. The Darwinism of day trading. Business Week (2001) May 23). online editionGoogle Scholar
• Tetlock P. Giving content to investor sentiment: The role of media in the stock market. J. Finance (2005) . ForthcomingGoogle Scholar
• Tetlock P., Saar-Tsechansky M., Macskassy S. More than words: Quantifying language to measure firms' fundamentals. (2006) . Working paper, University of Texas, Austin, TXGoogle Scholar
• Tumarkin R., Whitelaw R. News or noise? Internet postings and stock prices. Financial Analysts J. (2001) 57(3):41–51Crossref, Google Scholar
• Vapnik V.The Nature of Statistical Learning Theory (1995) (Springer-Verlag, New York) Crossref, Google Scholar
• Vapnik V., Chervonenkis A. On the uniform convergence of relative frequencies of events to their probabilities. Theory Probab. and Its Appl. (1964) 16(2):264–280Crossref, Google Scholar
• Wakefield J. Catching a buzz. Scientific Amer. (2001) 285(5):30–32Crossref, Google Scholar
• Wysocki P. Cheap talk on the web: The determinants of postings on stock message boards. (1998) . Working Paper 98025, University of Michigan Business School, Ann Arbor, MIGoogle Scholar