DocumentCode :
2093401
Title :
Sentiment in Science - A Case Study of CBMS Contributions in Years 2003 to 2007
Author :
Verlic, Mateja ; Stiglic, Gregor ; Kocbek, Simon ; Kokol, Peter
Author_Institution :
Fac. of Electr. Eng. & Comput. Sci., Univ. of Maribor, Maribor
fYear :
2008
fDate :
17-19 June 2008
Firstpage :
138
Lastpage :
143
Abstract :
This paper presents an overview of past papers published at the CBMS symposiums from a content analysis point of view. A simple, yet effective word counting using Harvard Psycho-Social dictionary was used to estimate different aspects of sentiment that can be present even in scientific papers. Using simple statistics we uncover some of the very interesting trends in the last five CBMS symposiums. Additional to pure statistics we used some of the most advanced classification techniques to see if there are any significant differences in psycho-social texture of the accepted papers. It was also shown that building machine learning models on this kind of data can result in some very interesting generalizations of the underlying data.
Keywords :
learning (artificial intelligence); psychology; Harvard Psycho-Social dictionary; content analysis; machine learning models; sentiment; Bioinformatics; Biomedical imaging; Computer science; Data mining; Dictionaries; Humans; Machine learning; Psychology; Speech; Statistics; machine learning; sentiment analysis; text mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
Conference_Location :
Jyvaskyla
ISSN :
1063-7125
Print_ISBN :
978-0-7695-3165-6
Type :
conf
DOI :
10.1109/CBMS.2008.135
Filename :
4561971
Link To Document :
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