Title :
Is shallow semantic analysis really that shallow? A study on improving text classification performance
Author :
Przemysław Maciołek;Grzegorz Dobrowolski
Author_Institution :
AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakó
Abstract :
The paper presents a graph-based, shallow semantic analysis-driven approach for modeling document contents. This allows to extract additional information about meaning of text and effects in improved document classification. Its performance is compared against the “legacy” bag-of-words and Schenker et al. approaches with k - NN classification based on Polish and English news articles.
Keywords :
"Semantics","Speech","Training","Feature extraction","Buildings","Dictionaries","Measurement"
Conference_Titel :
Computer Science and Information Technology (IMCSIT), Proceedings of the 2010 International Multiconference on
Print_ISBN :
978-1-4244-6432-6
Electronic_ISBN :
2157-5533
DOI :
10.1109/IMCSIT.2010.5680029
