Dual-Channel Microblog Emotion Analysis Based on RoBERTa-WWM and Multi-Head Attention

2022 ◽  
pp. 486-495
Author(s):  
Ke Yuan ◽  
Meng Zhang
Keyword(s):  
Emotion Analysis ◽  
Dual Channel

scholarly journals A Text Emotion Analysis Method Using the Dual-Channel Convolution Neural Network in Social Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Di Wu ◽  
Jianpei Zhang ◽  
Qingchao Zhao
Keyword(s):  
Neural Network ◽  
Convolution Neural Network ◽  
Semantic Features ◽  
Emotion Classification ◽  
Emotion Analysis ◽  
Parts Of Speech ◽  
Dual Channel ◽  
Text Feature ◽  
Comparison Algorithms ◽  
Edge Features

In order to solve the problem that the existing deep learning method has insufficient ability in feature extraction in the text emotion classification task, this paper proposes a text emotion analysis using the dual-channel convolution neural network in the social network. First, a double-channel convolutional neural network is constructed. Combined with emotion words, parts of speech, degree adverbs, negative words, punctuation, and other word features that affect the text’s emotional tendency, an extended text feature is formed. Then, using the CNN’s multichannel mechanism, the extended text features based on the word vector features and the semantic features based on the word vectors are, respectively, input into the CNN model. After each convolution operation of the convolution channel, the BN technology is used to normalize the internal data of the network and the padding technology is used to improve the ability of the model to extract edge features of the data and the speed of the model. Finally, a dynamic k-max continuous pooling strategy is adopted to realize the dimensionality reduction of features and enhance the model’s ability to extract features. The experimental results show that the accuracy and F1 values obtained by the proposed method can be as high as 94.16% and 92.61%, respectively, which are better than several comparison algorithms.

Hybrid Valence Bands in Strained-Layer Heterostructures grown on Relaxed SiGe Virtual Substrates

2003 ◽  
Vol 765 ◽  
Author(s):  
Minjoo L. Lee ◽  
Eugene A. Fitzgerald
Keyword(s):  
Strained Silicon ◽  
Strained Layer ◽  
Dual Channel ◽  
Enhanced Mobility ◽  
Valence Bands ◽  
Almost All

AbstractThe use of alternative channel materials such as germanium [1,2] and strained silicon (ε-Si) [3-5] is increasingly being considered as a method for improving the performance of MOSFETs. While ε-Si grown on relaxed Si1-x Gex is drawing closer to widespread commercialization, it is currently believed that almost all of the performance benefit in CMOS implementations will derive from the enhanced mobility of the n -MOSFET [5]. In this paper, we demonstrate that ε-Si p -MOSFETs can be engineered to exhibit mobility enhancements that increase or remain constant as a function of inversion density. We have also designed and fabricated ε-Si / ε-Ge dual-channel p -MOSFETs exhibiting mobility enhancements of 10 times. These p -MOSFETs can be integrated on the same wafers as ε-Si n -MOSFETs, making symmetric-mobility CMOS possible.

scholarly journals Decision and Coordination in a Dual-Channel Three-Layered Green Supply Chain

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 549 ◽  
Author(s):  
Zilong Song ◽  
Shiwei He ◽  
Baifeng An
Keyword(s):  
Sustainable Development ◽  
Supply Chain ◽  
Environmental Performance ◽  
Fresh Produce ◽  
Green Supply Chain ◽  
Market Demand ◽  
Equilibrium Solutions ◽  
Sustainable Performance ◽  
Dual Channel ◽  
Social And Environmental Performance

This paper investigated, for the first time, the game and coordination of a dual-channel, three-layered, green fresh produce supply chain, with regard to its economic, social, and environmental performance. Considering that the market demand is dual-channel priced and sensitive to the degree of greenness and the freshness-level, four game models, under different scenarios have been established. These included a centralized scenario, a decentralized scenario, and two contractual scenarios. The equilibrium solutions under the four scenarios were characterized. From the perspective of a sustainable development, the economic, social, and environmental performance of the supply chain was analyzed. To enhance the supply chain performance, two contract mechanisms were designed and the conditions for a multi-win outcome were obtained. Accordingly, many propositions and management implications were provided. The results showed that, (1) compared to the centralized supply chain case, the performance of the decentralized supply chain case is inferior; (2) in addition to increasing the concentration of the supply chain decisions, the two contracts proposed can effectively coordinate the green supply chain and improve its sustainable performance; and (3) the performance of the supply chain is positively driven by the consumers’ sensitivity to greenness degree and the freshness level of fresh produce. This paper fills a research gap and helps the participants of the channel recognize the operational decision principle of a complex green supply chain, in order to achieve a higher and a long-term sustainable-development performance.

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