This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Business and Market Intelligence 2.0, Part 2
March/April 2010 (vol. 25 no. 2)
pp. 74-82
ASCII Text
x 
 
Hsinchun Chen, "Business and Market Intelligence 2.0, Part 2," IEEE Intelligent Systems, vol. 25, no. 2, pp. 74-82, March/April, 2010.
 
 
BibTex
x
 
@article{ 10.1109/MIS.2010.43,
author = {Hsinchun Chen},
title = {Business and Market Intelligence 2.0, Part 2},
journal ={IEEE Intelligent Systems},
volume = {25},
number = {2},
issn = {1541-1672},
year = {2010},
pages = {74-82},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2010.43},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - Business and Market Intelligence 2.0, Part 2
IS - 2
SN - 1541-1672
SP74
EP82
EPD - 74-82
A1 - Hsinchun Chen,
PY - 2010
KW - artificial intelligence
KW - Trends & Controversies
KW - business intelligence
KW - market intelligence
KW - Business Intelligence 2.0
KW - Web analytics
KW - information extraction
KW - topic identification
KW - opinion mining
KW - time-series analysis
VL - 25
JA - IEEE Intelligent Systems
ER -
 
Hsinchun Chen, University of Arizona

In the past few years, Web intelligence, Web analytics, Web 2.0, and user-generated content have begun to usher in a new and exciting era of research on business intelligence. An immense amount of company, industry, product, and customer information can be gathered from the Web and organized and visualized through various knowledge-mapping, Web portal, and multilingual retrieval techniques. Additionally, user-generated content from online social media provides a large volume of timely feedback and opinions from a diverse customer population. In the previous issue of IEEE Intelligent Systems, Trends & Controversies featured three essays exploring how enterprises can use Web 2.0 technologies and content to make better business decisions. This theme continues in this issue, with two additional essays from experts in business intelligence for finance.

1. J.J. Choi, D. Laibson, and A. Metrick, "Does the Internet Increase Trading? Evidence from Investor Behavior in 401(k) Plans," J. Financial Economics, vol. 64, no. 3, 2002, pp. 397–421.
2. S. Das, A. Martinez-Jerez, and P. Tufano, "eInformation: A Clinical Study of Investor Discussion and Sentiment," Financial Management, vol. 34, no. 3, 2005, pp. 103–137.
3. S.R. Das and M.Y. Chen, "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, vol. 53, no. 9, 2007, pp. 1375–1388.
4. W. Antweiler and M. Frank, "Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards," J. Finance, vol. 59, no. 3, 2004, pp. 1259–1294.
5. W. Antweiler and M. Frank, "The Market Impact of Corporate News Stories," working paper, University of British Columbia, 2005.
6. P.C. Tetlock, "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," J. Finance, vol. 62, no. 3, 2007, pp. 1139–1168.
7. P. Tetlock, P.M. Saar-Tsechansky, and S. Macskassay, "More than Words: Quantifying Language to Measure Firms' Fundamentals," J. Finance, vol. 63, no. 3, 2008, pp. 1437–1467.
8. S.R. Das and J. Sisk, "Financial Communities," J. Portfolio Management, vol. 31, no. 4, 2005, pp. 112–123.
1. R.P. Schumaker and H. Chen, "Textual Analysis of Stock Market Prediction Using Breaking Financial News: The AZFin Text System," ACM Trans. Information Systems, vol. 27, no. 2, 2009, article 12.
2. S.R. Das and M.Y. Chen, "Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web," Management Science, vol. 53, no. 9, 2007, pp. 1375–1388.
3. P.C. Tetlock, "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," J. Finance, vol. 62, no. 3, 2007, pp. 1139–1168.
4. V.L. Rubin, E.D. Liddy, and N. Kando, "Certainty Identification in Texts: Categorization Model and Manual Tagging Results," Computing Attitude and Affect in Text: Theory and Applications, J.G. Shanahan, Y. Qu, and J. Wiebe eds., Springer, 2005, pp. 61–76.
5. A. Abbasi, H. Chen, and A. Salem, "Sentiment Analysis in Multiple Languages: Feature Selection for Opinion Classification in Web Forums," ACM Trans. Information Systems, vol. 26, no. 3, 2008, article 12.
6. H. Zou and T. Hastie, "Regularization and Variable Selection via the Elastic Net," J. Royal Statistical Soc. B, vol. 67, 2005, pp. 301–320.

Index Terms:
artificial intelligence, Trends & Controversies, business intelligence, market intelligence, Business Intelligence 2.0, Web analytics, information extraction, topic identification, opinion mining, time-series analysis
Citation:
Hsinchun Chen, "Business and Market Intelligence 2.0, Part 2," IEEE Intelligent Systems, vol. 25, no. 2, pp. 74-82, March-April 2010, doi:10.1109/MIS.2010.43
Usage of this product signifies your acceptance of the Terms of Use.