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Chao He, Xinghua Zhang, Dongqing Song, Yingshan Shen, Chengjie Mao, Huosheng Wen, Dingju Zhu and Lihua Cai
With the popularization of better network access and the penetration of personal smartphones in today?s world, the explosion of multi-modal data, particularly opinionated video messages, has created urgent demands and immense opportunities for Multi-Moda...
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Guangtao Xu, Peiyu Liu, Zhenfang Zhu, Jie Liu and Fuyong Xu
The purpose of aspect-based sentiment classification is to identify the sentiment polarity of each aspect in a sentence. Recently, due to the introduction of Graph Convolutional Networks (GCN), more and more studies have used sentence structure informati...
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Wenkuan Li, Peiyu Liu, Qiuyue Zhang and Wenfeng Liu
Text sentiment analysis is an important but challenging task. Remarkable success has been achieved along with the wide application of deep learning methods, but deep learning methods dealing with text sentiment classification tasks cannot fully exploit s...
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Yonghua Zhu, Xun Gao, Weilin Zhang, Shenkai Liu and Yuanyuan Zhang
The prevalence that people share their opinions on the products and services in their daily lives on the Internet has generated a large quantity of comment data, which contain great business value. As for comment sentences, they often contain several com...
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Yonghua Zhu, Xun Gao, Weilin Zhang, Shenkai Liu and Yuanyuan Zhang
The prevalence that people share their opinions on the products and services in their daily lives on the Internet has generated a large quantity of comment data, which contain great business value. As for comment sentences, they often contain several com...
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Shiqian Guo, Yansun Huang, Baohua Huang, Linda Yang and Cong Zhou
This paper proposed a method for improving the XLNet model to address the shortcomings of segmentation algorithm for processing Chinese language, such as long sub-word lengths, long word lists and incomplete word list coverage. To address these issues, w...
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Hashem Saleh Sharaf Al-deen, Zhiwen Zeng, Raeed Al-sabri and Arash Hekmat
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Yun Peng and Jianmei Wang
This study aims to explore the time series context and sentiment polarity features of rumors? life cycles, and how to use them to optimize the CNN model parameters and improve the classification effect. The proposed model is a convolutional neural networ...
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Biqing Zeng, Heng Yang, Ruyang Xu, Wu Zhou and Xuli Han
Aspect-based sentiment classification (ABSC) aims to predict sentiment polarities of different aspects within sentences or documents. Many previous studies have been conducted to solve this problem, but previous works fail to notice the correlation betwe...
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Jingren Zhang, Fang?ai Liu, Weizhi Xu and Hui Yu
Convolutional neural networks (CNN) and long short-term memory (LSTM) have gained wide recognition in the field of natural language processing. However, due to the pre- and post-dependence of natural language structure, relying solely on CNN to implement...
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Bilal Ahmed Chandio, Ali Shariq Imran, Maheen Bakhtyar, Sher Muhammad Daudpota and Junaid Baber
Deep neural networks have emerged as a leading approach towards handling many natural language processing (NLP) tasks. Deep networks initially conquered the problems of computer vision. However, dealing with sequential data such as text and sound was a n...
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Jian Wu, Yan Chen, Tiantian Gai, Yujia Liu, Yan Li and Mingshuo Cao
The Suez Canal blockage (SCB) event, one of the world?s major transportation arteries, has attracted significant public attention. This article proposes a new leader?follower public-opinion evolution model on the SCB under online social media, which cons...
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Chi Ma, Jianping Tao, Caifeng Tan, Wei Liu and Xia Li
As the media have continued to pay increasing attention to pig epidemic events, some local pig epidemic events may have a large degree of negative impact on the pork market and the whole pig industry chain, leading to pork price fluctuations. Strengtheni...
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Xing Liu, Fupeng Wei, Wei Jiang, Qiusheng Zheng, Yaqiong Qiao, Jizong Liu, Liyue Niu, Ziwei Chen and Hangcheng Dong
Existing methods for monitoring internet public opinion rely primarily on regular crawling of textual information on web pages but cannot quickly and accurately acquire and identify textual information in images and videos and discriminate sentiment. The...
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