Extraction of Depression Symptoms From Social Networks

Chilwal, Bhavna; Mishra, Amit Kumar

doi:10.1002/9781119761655.ch17

Cited by 5 publications

(4 citation statements)

References 20 publications

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“…It is essential to make use of social media intelligently. There are majorly two types of engagements on social media; entertainment and social use [48] [49]. The use for entertainment purposes is addictive whereas the use for socializing would help to enhance the "subjective well-being".…”

Section: 2student Brand Engagement As Co-creatorsmentioning

confidence: 99%

Connect with Student-Educational Consumer Brand Management Engagement: A Social Media Management Perspective

Mishra

Negi

Döngül

et al. 2023

AIA

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Social media empowers individuals to express their views regarding the events that take place in their day-to-day life. These events also incorporate the sentiments of students as well as educators towards their educational institutions. Thus, the study aims to analyze the sentiments of the students regarding their educational institutions to hike consumer brand management. However, Understanding the student at all levels of his being (physical, mental, emotional spiritual) is crucial to generate valuable learning and bringing forth a sense of belongingness. The study proposes to use social media platforms to connect, understand and engage the students at the professional as well as personal levels.Design/methodology/approach: Sentiment Analysis using vectorization and polarity has been applied to data collected from tweets of several leading universities of the world with their social media appearances to acquire significant insights into the objective of the study. During the analysis, it has been observed that symbol such as #hashtags and @ has played an intensified role in arousing the emotions of the individuals which eventually contributed to the branding of a particular designated university.Findings: Sentiment and emotional identification play a significant role in increasing brand value and nurturing the relationship between the student and the educator. It has been observed from the study that a sense of intensified community building is promoted which encourages new individuals to become a part of the reputed universities.Research Limitation/Implication: Since the field of education plays a great important role in the policies and economy of every country, students are the driving factors of this sector. Hence it is important to identify the emotion and sentiments of an individual regarding each small role that he goes through while studying. The university plays a very important role thus the study focuses on how each activity in the university affects the sentiments of a student and at the same time, it

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Section: 2student Brand Engagement As Co-creatorsmentioning

confidence: 99%

Connect with Student-Educational Consumer Brand Management Engagement: A Social Media Management Perspective

Mishra

Negi

Döngül

et al. 2023

AIA

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“…In this paper, risk-based in ambiguous contexts COPRAS' approach to developing the algorithm Expanding. In dealing with uncertainty Ratio of best-worst solution and logical Due to simultaneous consideration of concepts COPRAS-F is accepted [22]. In this paper, Fuzzy AHP and An integrated based on COPRAS We propose an approach criteria and performance evaluations of alternatives Linguistics are calculated based on the norms.…”

Section: Coprasmentioning

confidence: 99%

Assessment of Carbon Fiber Reinforced Plastic (CFRP) composites Using COPRAS Method

2022

JEMM

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The influence of concrete strength and between concrete and CFRP composites considering the type of interaction, Exterior of reinforced concrete beams Optimum composition of CFRP composites for reinforcement and is to reach the number of layers. (i) machinability Chip removal mechanisms, cutting force, tool wear, Surface roughness, deformation and uncut of CFRP including properties of fibers; (ii) CFRP Cutting tool requirements for machining; and (iii) recent Industry solutions: cutting tools, coatings and Advanced edge geometry of technologies. CFRP composite, dry carbon fiber adhesive system. Tensile strength, tensile modulus, Air weight. From the result is based on is the result seen and got the Tensile modulus first grade, whereas the Density having the lowest rank. The value of the dataset for CFRP composites in COPRAS method shows that it results in tensile modulus and top ranking.

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“…Trough online chats, users may express their feelings, opinions, and thoughts to others on this platform. Te data that are gathered everyday on the internet and are growing daily are the focus of many different strategies today [5]. Te system discriminated human and nonhuman person's eyes by training the frst network, then used the second network to identify the location of the feature points of the eye.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Approach of Face Detection and Prediction of Drowsiness Using SVM

Shukla

Tiwari²,

Jha

2023

Mathematical Problems in Engineering

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This article investigates an issue of road safety and a method for detecting drowsiness in images. More fatal accidents may be averted if fatigued drivers are using this technology accurately and the proposed models provide quick response by recognising the driver’s state of falling asleep. There are the following drowsiness models for depicting the possible eye state classifications as VGG16, VGG19, RESNET50, RESNET101 and MobileNetV2. The absence of a readily available and trustworthy eye dataset is perceived acutely in the realm of eye closure detection. On extracting the deep features of faces with VGG16, 98.68% accuracy has been achieved, VGG19 provides an accuracy of 98.74%, ResNet50 works with 65.69% accuracy, ResNet101 has achieved 95.77%, and MobileNetV2 is achieving 96.00% accuracy with the proposed dataset. The put forth model using the support vector machine (SVM) has been used to evaluate several models, and the present results in terms of loss function and accuracy have been obtained. In the proposed dataset, 99.85% accuracy in detecting facial expressions has been achieved. These experimental results show that the eye closure estimation has a higher accuracy and cheap processing cost, as well as the ability of the proposed framework for drowsiness.

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Extraction of Depression Symptoms From Social Networks

Cited by 5 publications

References 20 publications

Connect with Student-Educational Consumer Brand Management Engagement: A Social Media Management Perspective

Connect with Student-Educational Consumer Brand Management Engagement: A Social Media Management Perspective

Assessment of Carbon Fiber Reinforced Plastic (CFRP) composites Using COPRAS Method

An Efficient Approach of Face Detection and Prediction of Drowsiness Using SVM

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