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» Text classification using multi-word features
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CIARP
2006
Springer
13 years 11 months ago
Authorship Attribution Using Word Sequences
Authorship attribution is the task of identifying the author of a given text. The main concern of this task is to define an appropriate characterization of documents that captures ...
Rosa María Coyotl-Morales, Luis Villase&nti...
ICDIM
2009
IEEE
13 years 5 months ago
Are SentiWordNet scores suited for multi-domain sentiment classification?
Motivated by the numerous applications of analysing opinions in multi-domain scenarios, this paper studies the potential of a still rarely considered approach to the problem of mu...
Kerstin Denecke
ICDAR
2011
IEEE
12 years 7 months ago
Identification of Indic Scripts on Torn-Documents
—Questioned Document Examination processes often encompass analysis of torn documents. To aid a forensic expert, automatic classification of content type in torn documents might ...
Sukalpa Chanda, Katrin Franke, Umapada Pal
ACSC
2003
IEEE
14 years 26 days ago
A Comparative Study for Domain Ontology Guided Feature Extraction
We introduced a novel method employing a hierarchical domain ontology structure to extract features representing documents in our previous publication (Wang 2002). All raw words i...
Bill B. Wang, Robert I. McKay, Hussein A. Abbass, ...
SAC
2006
ACM
14 years 1 months ago
Approaches to text mining for clinical medical records
Clinical medical records contain a wealth of information, largely in free-text form. Means to extract structured information from free-text records is an important research endeav...
Xiaohua Zhou, Hyoil Han, Isaac Chankai, Ann Prestr...