Natural Language Processing Based Sentimental Analysis of Hindi (SAH) Script an Optimization Approach

Shrestha, Hewan; Dhasarathan, Chandramohan; Shanmugam, M.; Amudhavel, J.

doi:10.1007/s10772-020-09730-x

Cited by 27 publications

(7 citation statements)

References 18 publications

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“…In the "Analysis of the Status Quo of Campus Football Development in Chinese Universities and Research on Development Countermeasures," related scholars combed and analyzed the hardware facilities, direct participants and league system of campus football in Chinese universities, and pointed out the need while affirming the results [16]. Related scholars in the "Research on the Status Quo of the Development of Beijing Junior High School Campus Football League and Analysis of Influencing Factors" aimed at the development of the Beijing Junior High School Football League, which has enriched the students' amateur life, but there is a certain gap in the level of football among the various schools and teams [17].…”

Section: Related Workmentioning

confidence: 95%

“…From the perspective of multiple intelligence theory, the quality of the environment has a very important impact on the development of individuals [17,[20][21][22]. Whether it is the natural environment, the social environment, or the educational environment, it can affect and restrict the development of individuals to varying degrees from all aspects.…”

Section: Features Of Multiple Intelligence Eorymentioning

confidence: 99%

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[Retracted] Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model

Chen

2021

Complexity

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The introduction of multiple intelligence theory into sports professional football teaching is a requirement of educational innovation, which helps to expand and play the multiple functions of football, and can effectively improve the comprehensive quality of football professional science. Under the perspective of multiple intelligence theory, college sports professional football teaching will focus on the all-round development of students, actively cultivate students’ multiple intelligence, and reflect the democratization, individualization, and diversification of teaching in the process of educational concept innovation. This article explains the origin and characteristics of the particle swarm optimization algorithm and discusses the application status of the PSO algorithm in detail. We introduced the standard PSO algorithm, including mathematical forms, iteration steps, and flowcharts. In addition, it also specifically describes the proposed new PSO improved algorithm, including the food chain strategy and reproduction strategy, as well as the implementation of the algorithm. Through analysis, it is concluded that the implementation and implementation of relevant systems is the guarantee for the sustained and sound development of campus football. The amount of football lessons is insufficient, and the classroom teaching effect is not ideal. Physical education teachers are acceptable, but the football professional knowledge training of physical education teachers needs to be strengthened. The selection and setting of the teaching content of football lessons lack systematic, scientific, and adaptable, and the teaching methods and teaching model concepts are backward. In the process of football teaching, teachers ignored the evaluation and assessment of students’ nonphysical and nonintellectual factors, and campus football activities did not achieve the expected goals.

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Section: Related Workmentioning

confidence: 95%

Section: Features Of Multiple Intelligence Eorymentioning

confidence: 99%

[Retracted] Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model

Chen

2021

Complexity

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“…First, corpora marking was completed. The current research on emotional analysis mainly divides emotional types into three or five categories [ 49 , 50 ]. In addition, the Ortony-Clore-Collins (OCC) model, proposed by Ortony et al [ 51 ] in 1988, is a refined emotion classification model that offers a rule-based emotion export mechanism, which has been widely applied to studies that examine emotion classification of social media users [ 52 ].…”

Section: Methodsmentioning

confidence: 99%

Emotional Attitudes of Chinese Citizens on Social Distancing During the COVID-19 Outbreak: Analysis of Social Media Data

Shen¹,

Zhang²,

Cao³

et al. 2021

JMIR Med Inform

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Background Wuhan, China, the epicenter of the COVID-19 pandemic, imposed citywide lockdown measures on January 23, 2020. Neighboring cities in Hubei Province followed suit with the government enforcing social distancing measures to restrict the spread of the disease throughout the province. Few studies have examined the emotional attitudes of citizens as expressed on social media toward the imposed social distancing measures and the factors that affected their emotions. Objective The aim of this study was twofold. First, we aimed to detect the emotional attitudes of different groups of users on Sina Weibo toward the social distancing measures imposed by the People’s Government of Hubei Province. Second, the influencing factors of their emotions, as well as the impact of the imposed measures on users’ emotions, was studied. Methods Sina Weibo, one of China’s largest social media platforms, was chosen as the primary data source. The time span of selected data was from January 21, 2020, to March 24, 2020, while analysis was completed in late June 2020. Bi-directional long short-term memory (Bi-LSTM) was used to analyze users’ emotions, while logistic regression analysis was employed to explore the influence of explanatory variables on users’ emotions, such as age and spatial location. Further, the moderating effects of social distancing measures on the relationship between user characteristics and users’ emotions were assessed by observing the interaction effects between the measures and explanatory variables. Results Based on the 63,169 comments obtained, we identified six topics of discussion—(1) delaying the resumption of work and school, (2) travel restrictions, (3) traffic restrictions, (4) extending the Lunar New Year holiday, (5) closing public spaces, and (6) community containment. There was no multicollinearity in the data during statistical analysis; the Hosmer-Lemeshow goodness-of-fit was 0.24 (χ28=10.34, P>.24). The main emotions shown by citizens were negative, including anger and fear. Users located in Hubei Province showed the highest amount of negative emotions in Mainland China. There are statistically significant differences in the distribution of emotional polarity between social distancing measures (χ220=19,084.73, P<.001), as well as emotional polarity between genders (χ24=1784.59, P<.001) and emotional polarity between spatial locations (χ24=1659.67, P<.001). Compared with other types of social distancing measures, the measures of delaying the resumption of work and school or travel restrictions mainly had a positive moderating effect on public emotion, while traffic restrictions or community containment had a negative moderating effect on public emotion. Conclusions Findings provide a reference point for the adoption of epidemic prevention and control measures, and are considered helpful for government agencies to take timely actions to alleviate negative emotions during public health emergencies.

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“…The term "sentiment analysis" refers to the process of identifying people's emotions and views through written language. It is focused on extracting information from any text based on polarity in social conduct, whether positive, negative, or neutral [20]. The key difficulties in sentiment analysis are determining how sentiments are conveyed in texts and whether the utterances reflect positive (favorable) or negative (unfavorable) attitudes about the subject.…”

Section: Sentiment Analysis-conceptual Frameworkmentioning

confidence: 99%

“…According to the literature, the more knowledge or experience a person has in using or implementing software or applications in the IT field, the greater the satisfaction they will feel after using them. In addition, the perceived ease of use gives the person the confidence that their implementation will be effortless and with remarkable results [20] (for example, the performance of software and applications that can be used for sentiment analysis in marketing), which contributes to the argumentation of the hypotheses I4, I5, and I6.…”

Section: Marketing Model Regarding the Factors That Contribute To The...mentioning

confidence: 99%

The Degree of Adoption of Business Intelligence in Romanian Companies—The Case of Sentiment Analysis as a Marketing Analytical Tool

et al. 2022

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The structural changes in the public communication space through the advent of the Internet and the further development of online commerce culminate today with the explosion of blockchain techniques and social networks. This communication space was quickly taken over by marketing tools, as demonstrated by the many marketing campaigns dedicated to these new communication channels. The development of online commerce and the emergence of social networks have allowed consumers to efficiently search for brands/products/services, compare them, express their point of view on them, and even give them grades. Due to the explosion of relevant data online, the changing business environment needs attention to interpret and extract relevant information. The application of sentiment analysis to public reaction in the online environment provides the researcher with how the authors of the analyzed texts (clients/beneficiaries) express themselves regarding the studied reference (product/service/organization/social theme and a feature of them). Along with the other metrics present in marketing, including digital marketing, the reports in the analysis panels of google analytics and social networks, sentiment analysis instantly provides the general and competitive context in which the product/service/theme evolves. In this article, two types of research have been conducted to highlight the benefits felt, but also the degree of knowledge, implementation, and use of sentiment analysis in online marketing analysis. One of the types of research was qualitative, carried out on 10 participants (specialists in the field of marketing), with the help of an interview guide. Qualitative research aims to find out the level of knowledge of sentiment analysis and the general degree of digitalization of Romanian companies, an indicator considered critical in the new post-pandemic business environment. The second research was quantitative and used to develop analysis by structural equations. For this, a questionnaire applied to a sample of 108 respondents was used. Through the analysis by structural equations, a conceptual model was developed that presents the main factors that are related to others and that contribute to the satisfaction of the users of the analysis of feelings for obtaining marketing data.

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Natural Language Processing Based Sentimental Analysis of Hindi (SAH) Script an Optimization Approach

Cited by 27 publications

References 18 publications

[Retracted] Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model

[Retracted] Optimization of Teaching Evaluation System for Football Professional Teachers Based on Multievaluation Model

Emotional Attitudes of Chinese Citizens on Social Distancing During the COVID-19 Outbreak: Analysis of Social Media Data

The Degree of Adoption of Business Intelligence in Romanian Companies—The Case of Sentiment Analysis as a Marketing Analytical Tool

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