Paper Info
Title
Searching, Translating and Classifying Information in Cyberspace.
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).
Year
DOI
Venue
2011
10.1007/978-3-642-20862-1_5
Lecture Notes in Business Information Processing
Keywords
Field
DocType
Search technology,web,machine translation,automatic text classification,machine learning,natural language processing (NLP)
World Wide Web,Search engine,Computer science,Machine translation,Natural language,Blogosphere,Instrumental and intrinsic value,Cyberspace
Conference
Volume
ISSN
Citations 
78
1865-1348
0
PageRank 
References 
Authors
0.34
12
3
Name
Order
Citations
PageRank
Jacques Savoy11601169.85
Ljiljana Dolamic212510.84
olena zubaryeva322.08