GIF Video Sentiment Detection Using Semantic Sequence
Joint Authors
Lin, Dazhen
Cao, Donglin
Lv, Yanping
Cai, Zheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-16
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
With the development of social media, an increasing number of people use short videos in social media applications to express their opinions and sentiments.
However, sentiment detection of short videos is a very challenging task because of the semantic gap problem and sequence based sentiment understanding problem.
In this context, we propose a SentiPair Sequence based GIF video sentiment detection approach with two contributions.
First, we propose a Synset Forest method to extract sentiment related semantic concepts from WordNet to build a robust SentiPair label set.
This approach considers the semantic gap between label words and selects a robust label subset which is related to sentiment.
Secondly, we propose a SentiPair Sequence based GIF video sentiment detection approach that learns the semantic sequence to understand the sentiment from GIF videos.
Our experiment results on GSO-2016 (GIF Sentiment Ontology) data show that our approach not only outperforms four state-of-the-art classification methods but also shows better performance than the state-of-the-art middle level sentiment ontology features, Adjective Noun Pairs (ANPs).
American Psychological Association (APA)
Lin, Dazhen& Cao, Donglin& Lv, Yanping& Cai, Zheng. 2017. GIF Video Sentiment Detection Using Semantic Sequence. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1191578
Modern Language Association (MLA)
Lin, Dazhen…[et al.]. GIF Video Sentiment Detection Using Semantic Sequence. Mathematical Problems in Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1191578
American Medical Association (AMA)
Lin, Dazhen& Cao, Donglin& Lv, Yanping& Cai, Zheng. GIF Video Sentiment Detection Using Semantic Sequence. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1191578
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191578