Optimising online review inspired product attribute classification using the self-learning particle swarm-based Bayesian learning approach

Maiyar, Lohithaksha M.; Cho, Sang‐Je; Tiwari, Manoj Kumar; Thoben, Klaus‐Dieter; Kiritsis, Dimitris

doi:10.1080/00207543.2018.1535724

Cited by 20 publications

(7 citation statements)

References 50 publications

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“…e research of miniaturized piezoelectric array sensors is then widely used in the electronic nose [6], electronic tongue, and other biological and chemical sensors, such as the highly precise determination of the odor of gases and the composition of liquids. In recent years the British literature has launched research on electronic array sensors for measuring the flow of blood in Doppler systems constructed from active surface wave devices [7]. However, these integrated array sensors require power supply or connectivity, limiting their application.…”

Section: Relevant Studiesmentioning

confidence: 99%

[Retracted] Construction and Simulation of Online English Reading Model in Wireless Surface Acoustic Wave Sensor Environment Optimized by Particle Swarm Optimization

Bo-lan

2022

Discrete Dynamics in Nature and Society

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English reading is an important way to consolidate and expand English language knowledge, and it is also an important way to obtain information and understand British and American culture. Therefore, reading teaching has always been an important part of English education and teaching at all levels and types of schools, and college English teaching is no exception. College English teachers have been carrying out teaching reflections in their reading teaching practice and constantly exploring teaching modes and teaching directions that improve students’ reading engagement and reading comprehension ability. However, the current daily teaching of English reading still generally maintains the traditional teaching mode. The entire reading learning process is monotonous, boring, and stylized, and the ability to acquire and process information cannot be combined with language knowledge and language skills. This kind of teaching mode severely inhibited the college students’ involvement in English learning model. Based on the electromagnetic-polarization response expression in a uniformly polarized half-space, this paper transforms the problem of polarization parameter extraction into a minimum optimization problem and constructs a fitness function. A set of polarization parameters is selected to calculate the electromagnetic-polarization response under trapezoidal waves in a uniform half-space, and the basic particle swarm algorithm is used to extract single and multiple parameters, respectively. In this paper, by adding a window to the test data in the time domain, the multiplicative and additive interference in the test signal is suppressed, and the signal-to-noise ratio of the test result is improved. We use the platform built in this article to wirelessly test the temperature characteristics of the surface acoustic wave sensor. The research results identified eight cognitive attributes of English reading and successfully generated diagnostic information at the group and individual levels and finally formed graphics and textual diagnostic feedback. There is a certain correlation between students’ vocabulary mastery and English reading performance, which shows that the vocabulary teaching method can help students better understand the reading materials and improve their reading performance. Combining two student interviews and learning logs, it can be seen that students’ understanding and frequency of use of vocabulary knowledge have increased significantly after the action research. It is generally recognized that vocabulary has a positive effect on improving reading level and can be based on the recognition and understanding of vocabulary. The mastery of vocabulary can promote the improvement of college students’ English reading level to a certain extent. Learners should strengthen vocabulary learning and face up to the importance of vocabulary knowledge in English reading.

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Section: Relevant Studiesmentioning

confidence: 99%

[Retracted] Construction and Simulation of Online English Reading Model in Wireless Surface Acoustic Wave Sensor Environment Optimized by Particle Swarm Optimization

Bo-lan

2022

Discrete Dynamics in Nature and Society

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“…What influencers say and do is significant, but so is what they write; thus, sentiment analysis is a useful approach to analysing content (Abhishek & Srivastava, 2021; Ye et al, 2021). Sentiment analyses of what influencers write can be used to improve customer engagement (Capatina et al, 2020; Maiyar et al, 2019; Mustak et al, 2021). Number of likes, followers and views are fundamental measures of influencer‐follower engagement, as are the clickable purchase links or promotion codes that they provide to their followers.…”

Section: Findings and Discussionmentioning

confidence: 99%

Impact of artificial intelligence on customer engagement and advertising engagement: A review and future research agenda

Suraña‐Sánchez,

Aramendia‐Muneta

2024

Int J Consumer Studies

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This study, through a bibliometric analysis, aims to provide increased knowledge of the evolution and effects of artificial intelligence over the last 30 years in customer engagement and advertising engagement. Articles were gathered from three databases by using combinations of keywords (artificial intelligence, customer engagement, advertising engagement, marketing, machine learning, etc.). A set of inclusion/exclusion criteria were then applied to obtain the final sample. The final sample was made up of 190 peer‐reviewed articles. Three separate analyses were performed to test the sample. A performance analysis identified the articles' years of publication, contributions per country and the performance/output of the relevant journals. A data analysis created 10 clusters; these are examined in depth, and provide explanations of the evolution of the relevant scientific production. The study's findings offer a wide perspective of research undertaken to date, and identify possible research gaps. This research contributes to the marketing field by bridging a gap, through undertaking a bibliometric analysis, in the research about the impact of artificial intelligence on customer and advertising engagement over the years 1991 through 2022. It offers scholars and researchers ideas for future research.

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“…In general, a good robustness network generally also has good generalization performance [17]. Good robustness means that the output of the network is not highly sensitive to changes in the input, such that the network has better fault tolerance and interference resistance.…”

Section: Particle Swarm Optimization Neural Network Algorithmmentioning

confidence: 99%

A Model for Analyzing Teaching Quality Data of Sports Faculties Based on Particle Swarm Optimization Neural Network

2022

Computational Intelligence and Neuroscience

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In this paper, we use a particle swarm optimization neural network algorithm to analyze the teaching data of physical education faculties and evaluate the quality of teaching in physical education faculties. By studying and analyzing the optimization problem of the weight parameters of convolutional neural network training, this paper designs a hybrid algorithm combining the improved PSO algorithm and the traditional gradient descent in the framework of the BP algorithm by using the gradient information of the loss function and the principle of group cooperative search through PSO algorithm. The hybrid algorithm takes the loss function as the objective function, based on the principle of the PSO algorithm, and optimizes the objective function by combining the gradient information of the loss function of the convolutional neural network. The convergence speed and global search ability of the algorithm are effectively improved while ensuring an acceptable increase in computation. The weight values of the three-level indicators of teacher teaching behavior, student learning behavior, and teaching environment relative to the teaching quality of physical education classroom are 0.106, 0.634, and 0.260, respectively, which shows that the dimension of student learning behavior has the highest weight value in the evaluation of physical education classroom teaching quality, followed by teaching environment and finally teacher teaching behavior. Teachers’ teaching ability will affect the effect of teaching methods, and the stronger the teaching ability is, the better the selection and utilization of teaching methods can be optimized.

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Optimising online review inspired product attribute classification using the self-learning particle swarm-based Bayesian learning approach

Cited by 20 publications

References 50 publications

[Retracted] Construction and Simulation of Online English Reading Model in Wireless Surface Acoustic Wave Sensor Environment Optimized by Particle Swarm Optimization

[Retracted] Construction and Simulation of Online English Reading Model in Wireless Surface Acoustic Wave Sensor Environment Optimized by Particle Swarm Optimization

Impact of artificial intelligence on customer engagement and advertising engagement: A review and future research agenda

A Model for Analyzing Teaching Quality Data of Sports Faculties Based on Particle Swarm Optimization Neural Network

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