Output details
11 - Computer Science and Informatics
Aston University
Article title
Incorporating sentiment prior knowledge for weakly supervised sentiment analysis
Type
D - Journal article
Title of journal
ACM transactions on Asian Language information processing
Article number
4
Volume number
11
Issue number
2
First page of article
N/A
ISSN of journal
1530-0226
Year of publication
2012
Number of additional authors
0
Additional information
<22> This paper presents two novel approaches for incorporating prior knowledge of sentiment into a topic model for sentiment analysis. This paper led to invited talks at the Institute of Automation and the Institute of Information Engineering at the Chinese Academy of Sciences. It also led to the award of £3000 from Royal Academy of Engineering to collaborate with Chinese University of Hong Kong on predictive modelling from social media. A joint paper has been published in Hypertext 2013 in which we show sentiments from journalists are reliable predictor of UK's general election results.
Interdisciplinary
-
Cross-referral requested
-
Research group
B - Computer Science Research Group
Citation count
1
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
