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Visual Learning of Semantic Concepts in Social Multimedia
2014
Künstliche Intelligenz
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/testing benchmark for visual sentiment analysis. ...
This combination gives rise to a new type of content, which is being called social multimedia. ...
doi:10.1007/s13218-014-0328-x
fatcat:hq267u3qnreffcmypn63qn2zmy
Inferring Sentiments from Supervised Classification of Text and Speech cues using Fuzzy Rules
2020
Procedia Computer Science
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The fusion of fuzzy logic with acoustic and linguistic features for classifying sentiment contributes a new exemplar in multimodal sentiment analysis. ...
The fusion of fuzzy logic with acoustic and linguistic features for classifying sentiment contributes a new exemplar in multimodal sentiment analysis. ...
Conclusion In this paper, a novel text and speech based fuzzy rule-based system has been proposed for multimodal sentiment analysis of review videos posted on social media. ...
doi:10.1016/j.procs.2020.03.348
fatcat:ezdaaw6z4fhwrnedf35i7unxbi
A Novel Context-Aware Multimodal Framework for Persian Sentiment Analysis
2021
Neurocomputing
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2021 pre-print arXiv:2103.02636v1 fatcat:id7opde7urf4tkn5srsdnmhqg4
In this paper, we, firstly, present a first of its kind Persian multimodal dataset comprising more than 800 utterances, as a benchmark resource for researchers to evaluate multimodal sentiment analysis ...
Secondly, we present a novel context-aware multimodal sentiment analysis framework, that simultaneously exploits acoustic, visual and textual cues to more accurately determine the expressed sentiment. ...
[44] presented a novel method to extract text features for short text as part of a multimodal sentiment analysis framework. ...
doi:10.1016/j.neucom.2021.02.020
fatcat:ysdvkvukfbfsvk6df7hizy6zxu
Sentimental Analysis from Video
2018
IJARCCE
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human-computer interaction. [5] In this type of interaction, properly comprehending the meanings of the words or the linguistic category and recognizing the emotion included in the speech is essential for ...
In order to model the emotional state, the speech waves are utilized, which bear signals standing for emotions such as boredom, fear, joy and sadness etc...So we can find different speech signals of each ...
Sentiment analysis is extracting emotions from a piece of text for a given video. Sentiment analysis is known as emotion extraction or opinion mining. This is a very popular field of in text mining. ...
doi:10.17148/ijarcce.2018.71134
fatcat:lkahrlkb4zhhvgy5xlqtf2hzpe
Fusing Audio, Textual and Visual Features for Sentiment Analysis of News Videos
[article]
2016
arXiv
pre-print
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This paper presents a novel approach to perform sentiment analysis of news videos, based on the fusion of audio, textual and visual clues extracted from their contents. ...
sentiment analysis from the closed caption associated to the videos of interest. ...
The visual intensity of the emotion is computed for each frame of the news video under analysis. In frames where no face was detected, the system computes the emotion as Nonexistent. ...
arXiv:1604.02612v1
fatcat:5os2pisuwfejpftol44rkc3f5m
Sentimental Analysis by Speech-Video Recognition using Machine Learning
2019
IJARCCE
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A multimodal system uses a combination of input modes e.g. text and audio or text and video or all of these three. ...
The volume, variety, velocity are properties of data, whether it comes from the Internet or an enterprise resource planning system, sentiment analysis system should get the data and analyze it. ...
LITERATURE SURVEY
"A NOVEL VOICE BASED SENTIMENTAL ANALYSIS TECHNIQUE TO MINE THE USER DRIVEN REVIEWS", International Research Journal of Engineering and Technology (2017)[2] Sentimental analysis plays ...
doi:10.17148/ijarcce.2019.8429
fatcat:h4nvrqj7andvlgt5gmwzowick4
Event based news video people classification and ranking using multimodality features
2010
2010 IEEE International Conference on Multimedia and Expo
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The main contributions of the paper are two folds: 1) we propose a novel approach to present the news video event according to communities; 2) we propose to use the sentiment analysis and social network ...
In this paper, we propose a novel approach to classify the people appearing in the news video into different communities. ...
In order to facilitate people's accessing to news and searching video content, news video analysis has been a hot research topic for a long time. ...
doi:10.1109/icme.2010.5582989
dblp:conf/icmcs/LiuHJX10
fatcat:67nwtmci4jevte2j6yztgyylca
Novel Methods for Forensic Multimedia Data Analysis: Part I
[chapter]
2020
Digital Forensic Science [Working Title]
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The increased usage of digital media in daily life has resulted in the demand for novel multimedia data analysis techniques that can help to use these data for forensic purposes. ...
In this chapter, we are proposing a new concept for new multimedia processing techniques for varied multimedia sources. We describe the background and motivation for our work. ...
A sentiment analysis in a long period of news revealed that the textual sentiments before the revolutions in Libya and Egypt have shown significant negative signals. ...
doi:10.5772/intechopen.92167
fatcat:53gnu6gzczbu5j6urfmt5gbsca
Sentiment Analysis of Wimbledon Tweets
2014
Workshop on Making Sense of Microposts
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However, if the video is a live coverage of an event, time correlated textual feed about the same event can act as a valuable source of aid for such annotation. ...
In this paper we explore the possibility of such correlation with the sentiment analysis of a set of tweets of the Roger Federer and Novak "Nole" Djokovic semi finals match at Wimbledon 2012. ...
We would also like to thank the workshop reviewers for their comments. ...
dblp:conf/msm/SinhaCA14
fatcat:35utqm7renhlncxmwexihvalla
Towards multimodal sentiment analysis
2011
Proceedings of the 13th international conference on multimodal interfaces - ICMI '11
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Finally, it introduces a new dataset consisting of real online data, which will be useful for future research in this area. ...
First, it addresses for the first time the task of tri-modal sentiment analysis, and shows that it is a feasible task that can benefit from the joint exploitation of visual, audio and textual modalities ...
Acknowledgments The authors are grateful to the three annotators who helped with the sentiment annotations. ...
doi:10.1145/2070481.2070509
dblp:conf/icmi/MorencyMD11
fatcat:aotezmrt2fgjbdbc7vr5djn3cm
Analysis of User-generated Content for Improving YouTube Video Recommendation
2015
ACM Conference on Recommender Systems
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For this reason, we propose a novel re-ranking approach that takes into consideration that information in order to provide better recommendations of related videos. ...
Everyday video-sharing websites such as YouTube collect large amounts of new multimedia resources. ...
In this paper we propose a re-ranking method that, for each video, generates a new ordered list of videos proposed by the YouTube traditional recommender. ...
dblp:conf/recsys/GalliGGMS15
fatcat:lwoulkfazvghdmr44i7vym7pde
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
2018
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
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From a resource perspective, there is a genuine need for large scale datasets that allow for in-depth studies of multimodal language. ...
In this paper we introduce CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI), the largest dataset of sentiment analysis and emotion recognition to date. ...
We introduce a novel dataset for multimodal sentiment and emotion recognition called CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI). ...
doi:10.18653/v1/p18-1208
dblp:conf/acl/MorencyCPLZ18
fatcat:g25wcs5dcbglnmbksasn5qlis4
Visualizing Contextual and Dynamic Features of Micropost Streams
2012
Workshop on Making Sense of Microposts
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For each post we extract key contextual features such as location, topic and sentiment, and subsequently render the resulting multidimensional information space using a suite of coordinated views that ...
We also describe three new visualization techniques that extend the original platform to account for the dynamic nature of micropost streams through dynamic topography information landscapes, news flow ...
For example, the interface of Vox Civitas uses coordinated views to synchronize a timeline, a color-coded sentiment bar, a Twitter flow and a video window which helps linking parts of the video to relevant ...
dblp:conf/msm/Hubmann-HaidvogelBSSG12
fatcat:by3ws4nnjnh4hkz7ooja675pni
Why We Watch the News
2014
Proceedings of the 16th International Conference on Multimodal Interaction - ICMI '14
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We present a multimodal sentiment study performed on a novel collection of videos mined from broadcast and cable television news programs. ...
To the best of our knowledge, this is the first dataset released for studying sentiment in the domain of broadcast video news. ...
We think this dataset presents a rich opportunity for the research community to tackle difficult video-based sentiment analysis questions "in the wild". ...
doi:10.1145/2663204.2663237
dblp:conf/icmi/EllisJC14
fatcat:lz3fzawomfa7ta5aq5btiuttca
Innovative Topologies and Algorithms for Neural Networks
2020
Future Internet
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The introduction of new topologies and training procedures to deep neural networks has solicited a renewed interest in the field of neural computation. ...
The probability of a successful outcome from a neural network is linked to selection of an appropriate network architecture and training algorithm. ...
Acknowledgments: The guest editors wish to thank all the contributing authors, the professional reviewers for their precious help with the review assignments, and the excellent editorial support from the ...
doi:10.3390/fi12070117
fatcat:ukzrsiszgndo7mjtnu3tjhp3ay
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