DocumentCode
3139796
Title
Challenges for Sentence Level Opinion Detection in Blogs
Author
Missen, Malik Muhammad Saad ; Boughanem, Mohand ; Cabanac, Guillaume
Author_Institution
IRIT, Univ. de Toulouse, Toulouse, France
fYear
2009
fDate
1-3 June 2009
Firstpage
347
Lastpage
351
Abstract
The Opinion Detection from blogs has always been a challenge for researchers. However with the introduction of Blog track in TREC 2006, a considerable improvement has been seen in this field at document level. But now it is the time when researchers are thinking to shift their orientation from opinion finding at document level to opinion finding at sentence or passage level. In this paper, we investigate the challenges the researchers might face with sentence-level opinion detection and have tried to demonstrate them with few examples. Our work also includes annotation of a small set of opinionated sentences by two annotators. These Annotators annotate the sentences by labels Positive or Negative. The results of annotation prove that task of opinion detection on sentence-level is more challenging task than opinion detection on document level. In addition, we also discuss the importance of sentence-level opinion detection. Our work can give a new direction to researchers to think and work on.
Keywords
Web sites; text analysis; blogs; document level; sentence level opinion detection; Blogs; Event detection; Face detection; Graphics; Information filtering; Information filters; Information retrieval; Information science; Text analysis; Text recognition; Blogs; Polarity; information retrieval; opinion; sentiment;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3641-5
Type
conf
DOI
10.1109/ICIS.2009.190
Filename
5222895
Link To Document