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1-10 of 19 Reviews about "
Text Processing (I.5.4...)
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Date Reviewed
Texterra: a framework for text analysis
Turdakov D., Astrakhantsev N., Nedumov Y., Sysoev A., Andrianov I., Mayorov V., Fedorenko D., Korshunov A., Kuznetsov S. Programming and Computing Software 40(5): 288-295, 2014. Type: Article
Turdakov et al. describe the Texterra framework developed at the Institute for System Programming (ISP) of the Russian Academy of Sciences (RAS). Texterra’s intended use is for multi-language text analysis using knowledge ext...
Jan 8 2015
Emotional sentence identification in a story
Zhang Z., Ge S., Tee K. WASA 2012 (Proceedings of the Workshop at SIGGRAPH Asia, Singapore, Nov 26-27, 2012) 125-130, 2012. Type: Proceedings
Where are the emotional sentences in this review? The authors of this paper offer a working solution to answer this question. They apply machine learning based on data annotated with emotional categories and the fusion of classificatio...
Mar 29 2013
Identifying semitic roots: machine learning with linguistic constraints
Daya E., Roth D., Wintner S. Computational Linguistics 34(3): 429-448, 2008. Type: Article
This paper--in the area of morphological analysis in natural language processing--addresses the problem of identifying roots of the words in Semitic languages, such as Hebrew and Arabic. The proposed approach uses mac...
Jun 2 2009
Text prediction systems: a survey
Garay-Vitoria N., Abascal J. Universal Access in the Information Society 4(3): 188-203, 2006. Type: Article
Text prediction systems have become more and more popular for people with speech and motor disabilities, and for the short messaging system (SMS) generation. Personal digital assistants and phones incorporate advanced text prediction s...
Oct 31 2007
Introducing a very large dataset of handwritten Farsi digits and a study on their varieties
Khosravi H., Kabir E. Pattern Recognition Letters 28(10): 1133-1141, 2007. Type: Article
This paper describes how a large dataset of handwritten Farsi digits was created. The authors argue that there are no standard datasets available of handwritten Farsi digits that would allow researchers to share their results and compa...
Sep 6 2007
Applied combinatorics on words (Encyclopedia of Mathematics and its Applications)
Lothaire M., Rota G., Doran B., Ismail M., Lam T., Wutwak E., Flajolet P., Lutwak E., Cambridge University Press, New York, NY, 2005. 626 pp. Type: Book (9780521848022)
This cooperative work is dedicated to many applications within the field of algebraic combinatorics. Ten chapters are included, each by a different author. The first two chapters provide the reader with basic concepts on core algorithm...
Jun 19 2006
Text mining: predictive methods for analyzing unstructured information
Weiss S., Indurkhya N., Zhang T., Damerau F., SpringerVerlag, 2004. Type: Book (9780387954332)
Text mining always has entangled relationships with information retrieval, natural language processing, and classical data mining. It is great to have this kind of book: one that wisely takes a clear stand at the beginning, to answer t...
Mar 4 2005
An intelligent information system for organizing online text documents
Kim H., Lee S. Knowledge and Information Systems 6(2): 125-149, 2004. Type: Article
Automatic document management, as a research field in information retrieval, has become a hot research topic since the emergence of the Internet in the 1990s, because a huge amount of online documents need to be quickly and efficiently...
Jan 14 2005
Automatic text detection and removal in video sequences
Lee C., Jung K., Kim H. Pattern Recognition Letters 24(15): 2607-2623, 2003. Type: Article
The authors propose a method for detecting the zones within frames in video where text has been included. They also remove these text regions and a further restoration step is applied to obtain the frame as if no text regions had been ...
Apr 5 2004
Disjunctive partial deduction of a right-to-left string-matching algorithm
Hernández M., Rosenblueth D. Information Processing Letters 87(5): 235-241, 2003. Type: Article
The string-matching problem is that of finding any occurrences of a pattern, or small test string, within a larger string or text. The naive algorithm for solving this problem is to line up the pattern with the beginning of the text an...
Feb 17 2004
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