Abstract
In this paper we describe current search technologies available on the web, explain underlying difficulties and show their limits, related to either current technologies or to the intrinsic properties of all natural languages. We then analyze the effectiveness of freely available machine translation services and demonstrate that under certain conditions these translation systems can operate at the same performance levels as manual translators. Searching for factual information with commercial search engines also allows the retrieval of facts, user comments and opinions on target items. In the third part we explain how the principle machine learning strategies are able to classify short passages of text extracted from the blogosphere as factual or opinionated and then classify their polarity (positive, negative or mixed).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Manning, C.D., Raghavan, P., Shütze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008)
Boughanem, M., Savoy, J. (eds.): Recherche d’information: Etat des lieux et perspectives. Lavoisier, Paris (2009)
Koehn, P.: Statistical Machine Translation. Cambridge University Press, Cambridge (2010)
Sebastiani, F.: Machine Learning in Automatic Text Categorization. ACM Computing Survey 14, 1–27 (2002)
Indurkhya, N., Damereau, F.J. (eds.): Handbook of Natural Languages Processing, 2nd edn. Chapman & Hall/CRC, Boca Raton (2010)
Abassi, A., Chen, H., Salem, A.: Sentiment Analysis in Multiple Languages: Feature Selection for Opinion Classification in Web Forums. ACM-Transactions on Information Systems 26 (2008)
Boiy, E., Moens, M.F.: A Machine Learning Approach to Sentiment Analysis in Multilingual Web Texts. Information Retrieval 12, 526–558 (2009)
Spink, A., Wolfram, D., Jansen, M.B.J., Saracevic, T.: Searching the Web: The Public and their Queries. Journal of the American Society for Information Science and Technology 52, 226–234 (2001)
Brin, S., Page, L.: The Anatomy of a Large-Scale Hypertextual Web Search Engine. In: Proceedings of the WWW’7, pp. 107–117 (1998)
Borodin, A., Roberts, G.O., Rosenthal, J.S., Tsaparas, P.: Finding Authorities and Hubs from Link Structures on the World Wide Web. In: Proceedings of the WWW’10, pp. 415–429 (2001)
Voorhees, E.M., Harman, D.K.: TREC Experiment and Evaluation in Information Retrieval. The MIT Press, Cambridge (2005)
Armstrong, T.G., Moffat, A., Webber, W., Zobel, J.: Improvements that Don’t Add Up: Ad Hoc Retrieval Results since 1998. In: Proceedings ACM-CIKM, pp. 601–609. The ACM Press, New York (2009)
Hawking, D., Robertson, S.: On Collection Size and Retrieval Effectiveness. Information Retrieval Journal 6, 99–105 (2003)
Nielsen, J., Loranger, H.: Prioritizing Web Usability. New Riders, Berkeley (2006)
Danet, B., Herring, S.C. (eds.): The Multilingual Internet. Language, Culture, and Communication Online. Oxford University Press, Oxford (2007)
Crocker, C.: Lost in Translation. Misadventures of English Abroad. Michael O’Mara Books Ltd., London (2006)
Savoy, J., Dolamic, L.: How Effective is Google’s Translation Service in Search? Communications of the ACM 52, 139–143 (2009)
Véronis, E., Véronis, J., Voisin, N.: Les politiques mis au net. Max Milo Ed., Paris (2007)
Crystal, D.: Language and Internet. Cambridge University Press, Cambridge (2006)
Seki, Y., Ku, L.W., Sun, L., Chen, H.H., Kando, N.: Overview of Multilingual Opinion Analysis Task at NTCIR-8. In: Proceedings NTCIR-8, pp. 209–220. NII publication, Tokyo (2010)
Hoover, D.L.: Another Perspective on Vocabulary Richness. Computers & the Humanities 37, 151–178 (2003)
Burrows, J.F.: Delta: A Measure of Stylistic Difference and a Guide to Likely Authorship. Literary & Linguistic Computing 17, 267–287 (2002)
Zhao, Y., Zobel, J.: Effective and Scalable Authorship Attribution using Function Words. In: Proceedings of the Second AIRS Asian Information Retrieval Symposium, pp. 174–189 (2005)
Stamatatos, E., Fakotakis, N., Kokkinakis, G.: Automatic Text Categorization in Terms of Genre and Author. Computational Linguistics 26, 471–495 (2001)
Zheng, R., Li, J., Chen, H., Huang, Z.: A Framework for Authorship Identification of Online Messages: Writing-Style Features and Classification Techniques. Journal of the American Society for Information Science & Technology 57, 378–393 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Savoy, J., Dolamic, L., Zubaryeva, O. (2011). Searching, Translating and Classifying Information in Cyberspace. In: Babin, G., Stanoevska-Slabeva, K., Kropf, P. (eds) E-Technologies: Transformation in a Connected World. MCETECH 2011. Lecture Notes in Business Information Processing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20862-1_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-20862-1_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20861-4
Online ISBN: 978-3-642-20862-1
eBook Packages: Computer ScienceComputer Science (R0)