NDLI: Opinion Question Answering by Sentiment Clip Localization

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Issue 1s(Special Issue on Smartphone-Based Interactive Technologies, Systems, and Applications and Special Issue on Extended Best Papers from ACM Multimedia 2014), October 2015

Issue 1, August 2015

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 11

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 10

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 9

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) : Volume 8

Opinion Question Answering by Sentiment Clip Localization

Content Provider	ACM Digital Library
Author	Ngo, Chong-Wah Pang, Lei
Copyright Year	2015
Abstract	This article considers multimedia question answering beyond factoid and how-to questions. We are interested in searching videos for answering opinion-oriented questions that are controversial and hotly debated. Examples of questions include “Should Edward Snowden be pardoned?” and “Obamacare—unconstitutional or not?”. These questions often invoke emotional response, either positively or negatively, hence are likely to be better answered by videos than texts, due to the vivid display of emotional signals visible through facial expression and speaking tone. Nevertheless, a potential answer of duration 60s may be embedded in a video of 10min, resulting in degraded user experience compared to reading the answer in text only. Furthermore, a text-based opinion question may be short and vague, while the video answers could be verbal, less structured grammatically, and noisy because of errors in speech transcription. Direct matching of words or syntactic analysis of sentence structure, such as adopted by factoid and how-to question-answering, is unlikely to find video answers. The first problem, the answer localization, is addressed by audiovisual analysis of the emotional signals in videos for locating video segments likely expressing opinions. The second problem, questions and answers matching, is tackled by a deep architecture that nonlinearly matches text words in questions and speeches in videos. Experiments are conducted on eight controversial topics based on questions crawled from Yahoo! Answers and Internet videos from YouTube.
Starting Page	1
Ending Page	19
Page Count	19
File Format	PDF
ISSN	15516857
e-ISSN	15516865
DOI	10.1145/2818711
Volume Number	12
Issue Number	2
Journal	ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-11-02
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Multimedia question answering Multimodality sentiment analysis Opinion clip localization
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture Computer Networks and Communications

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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