A Novel Long and Short-Term Memory Network-Based Krill Herd Algorithm for Explainable Art Sentiment Analysis in Interior Decoration Environment

IF 0.7 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Zhiqiang Gao
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引用次数: 0

Abstract

Aiming at the problem that most existing models of art sentiment analysis only consider text encoding from the word level, this paper proposes a novel long and short-term memory network-based krill herd algorithm for explainable art sentiment analysis in interior decoration environment. Firstly, multi-scale convolution is used to capture local correlation of different granularity, so as to obtain more semantic information of different levels and form richer text representation. Then, a gating mechanism is introduced to control the path of sentiment information flowing to the aggregation layer. An improved krill swarm algorithm based on cosine control factor and Cauchy factor is proposed to solve the model. Finally, the full connection layer and argmax function are used to achieve sentiment classification. The experimental results show that compared with other advanced models, the proposed model can improve the accuracy of emotion classification by 2.3% and 0.8% respectively on two public data sets of IMDB and Yelp2014, and obtain the minimum root mean square error (RMSE).
基于长短期记忆网络的磷虾群算法用于室内装饰环境中可解释的艺术情感分析
针对现有的艺术情感分析模型大多只从单词层面考虑文本编码的问题,本文提出了一种新的基于长短期记忆网络的磷虾群算法,用于室内装饰环境中可解释的艺术情感的分析。首先,利用多尺度卷积捕获不同粒度的局部相关性,从而获得更多不同层次的语义信息,形成更丰富的文本表示。然后,引入门控机制来控制情绪信息流到聚合层的路径。提出了一种基于余弦控制因子和柯西因子的改进磷虾群算法来求解该模型。最后,使用全连接层和argmax函数实现情感分类。实验结果表明,与其他先进模型相比,该模型在IMDB和Yelp2014两个公共数据集上的情绪分类准确率分别提高了2.3%和0.8%,并获得了最小均方根误差(RMSE)。
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来源期刊
Journal of Cases on Information Technology
Journal of Cases on Information Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.60
自引率
0.00%
发文量
64
期刊介绍: JCIT documents comprehensive, real-life cases based on individual, organizational and societal experiences related to the utilization and management of information technology. Cases published in JCIT deal with a wide variety of organizations such as businesses, government organizations, educational institutions, libraries, non-profit organizations. Additionally, cases published in JCIT report not only successful utilization of IT applications, but also failures and mismanagement of IT resources and applications.
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