NDLI: Visual sentiment topic model based microblog image sentiment analysis

Content Provider	Springer Nature Link
Author	Cao, Donglin Ji, Rongrong Lin, Dazhen Li, Shaozi
Copyright Year	2014
Abstract	With a growing number of images being used to express opinions in Microblog, text based sentiment analysis is not enough to understand the sentiments of users. To obtain the sentiments implied in Microblog images, we propose a Visual Sentiment Topic Model (VSTM) which gathers images in the same Microblog topic to enhance the visual sentiment analysis results. First, we obtain the visual sentiment features by using Visual Sentiment Ontology (VSO); then, we build a Visual Sentiment Topic Model by using all images in the same topic; finally, we choose better visual sentiment features according to the visual sentiment features distribution in a topic. The best advantage of our approach is that the discriminative visual sentiment ontology features are selected according to the sentiment topic model. The experiment results show that the performance of our approach is better than VSO based model.
Starting Page	8955
Ending Page	8968
Page Count	14
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	75
Issue Number	15
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2014-11-04
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Visual sentiment topic model Visual sentiment ontology Sentiment analysis Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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