Mining emotional features of movies

Yang Liu; Zhonglei Gu; Yu Zhang; Yan Liu

Mining emotional features of movies

Yang Liu
, Zhonglei Gu
, Yu Zhang
, Yan Liu

The Hong Kong Polytechnic University

Research output: Journal article publication › Conference article › Academic research › peer-review

6 Citations (Scopus)

Abstract

In this paper, we present the algorithm designed for mining emotional features of movies. The algorithm dubbed Arousal-Valence Discriminant Preserving Embedding (AV-DPE) is proposed to extract the intrinsic features embedded in movies that are essentially differentiating in both arousal and valence directions. After dimensionality reduction, we use the neural network and support vector regressor to make the final prediction. Experimental results show that the extracted features can capture most of the discriminant information in movie emotions.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	1739
Publication status	Published - 1 Jan 2016
Event	2016 Multimedia Benchmark Workshop, MediaEval 2016 - Hilversum, Netherlands Duration: 20 Oct 2016 → 21 Oct 2016

ASJC Scopus subject areas

General Computer Science

Cite this

@article{858987716fc445c5abca85c96fedf19b,

title = "Mining emotional features of movies",

abstract = "In this paper, we present the algorithm designed for mining emotional features of movies. The algorithm dubbed Arousal-Valence Discriminant Preserving Embedding (AV-DPE) is proposed to extract the intrinsic features embedded in movies that are essentially differentiating in both arousal and valence directions. After dimensionality reduction, we use the neural network and support vector regressor to make the final prediction. Experimental results show that the extracted features can capture most of the discriminant information in movie emotions.",

author = "Yang Liu and Zhonglei Gu and Yu Zhang and Yan Liu",

year = "2016",

month = jan,

day = "1",

language = "English",

volume = "1739",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

note = "2016 Multimedia Benchmark Workshop, MediaEval 2016 ; Conference date: 20-10-2016 Through 21-10-2016",

}

TY - JOUR

T1 - Mining emotional features of movies

AU - Liu, Yang

AU - Gu, Zhonglei

AU - Zhang, Yu

AU - Liu, Yan

PY - 2016/1/1

Y1 - 2016/1/1

N2 - In this paper, we present the algorithm designed for mining emotional features of movies. The algorithm dubbed Arousal-Valence Discriminant Preserving Embedding (AV-DPE) is proposed to extract the intrinsic features embedded in movies that are essentially differentiating in both arousal and valence directions. After dimensionality reduction, we use the neural network and support vector regressor to make the final prediction. Experimental results show that the extracted features can capture most of the discriminant information in movie emotions.

AB - In this paper, we present the algorithm designed for mining emotional features of movies. The algorithm dubbed Arousal-Valence Discriminant Preserving Embedding (AV-DPE) is proposed to extract the intrinsic features embedded in movies that are essentially differentiating in both arousal and valence directions. After dimensionality reduction, we use the neural network and support vector regressor to make the final prediction. Experimental results show that the extracted features can capture most of the discriminant information in movie emotions.

UR - https://www.scopus.com/pages/publications/85006309695

M3 - Conference article

SN - 1613-0073

VL - 1739

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 2016 Multimedia Benchmark Workshop, MediaEval 2016

Y2 - 20 October 2016 through 21 October 2016

ER -

Mining emotional features of movies

Abstract

ASJC Scopus subject areas

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