Comparative Analysis of Machine Learning Techniques for Detecting Sentiments in Social Media

Published: March 15, 2024

This paper provides an extensive discussion of the machine learning algorithms applied to sentiment analysis on social media, involving use Naive Bayes, Support Vector Machines (SVM), and Deep models evaluation comparison. The growth network content at rates exponential, computerized assessment interpretation valuer client have become extremely important serve areas market researches from opinion monitoring. We conducted a systematic study viability various methodologies that aim deal with complicated characteristics as well peculiar nature Language Processing Natural (LPN), which are most-likely caused by enormous amount data media platforms. According our results, Learning based incorporate more complex neural structure thus, CNNs RNNs likely outperform other explanations. critical point their success lies in power capture semantic contextual language. Nevertheless, exploration also outlines computational needs methods, imply some requirements for contemporary applications. cover issues processing speed trade-offs terms classification accuracy versus efficiency, thus out implementation problems scaled adoption brings.

Language: Английский

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Design and Implementation of an AI and IoT-Enabled Smart Safety Helmet for Real-Time Environmental and Health Monitoring

Published: June 28, 2024

Language: Английский

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Advanced Neural Network Architectures for Image Processing in Medical Diagnostics

Advances in chemical and materials engineering book series, Journal Year: 2025, Volume and Issue: unknown, P. 185 - 208

Published: Feb. 5, 2025

The applications of higher-level neural network structures in medical diagnosis have significantly changed image analysis medicamente, providing unmatched accuracy and speed disease classification. This chapter provides updated knowledge advanced models, CNN, GAN, U-net models are best suited for different imaging like MRI, CT, X-ray. findings a literature survey presented with focus on major contributions open issues such as data confidentiality, model understanding, the lack big annotated collections. Introducing various methodological approaches tuning networks diagnostics, an assessment is provided compliance their performance indicators critical parameters. Knowledge perspectives discussed this help to enhance reader reveal opportunities artificial intelligence application further enhancement healthcare sector through enhanced processing.

Language: Английский

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Assistive New Gen Smart Blind Stick Using React

Published: Jan. 1, 2025

Language: Английский

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Bridging the Digital Disability Divide: Determinants of Internet Use among Visually Impaired Individuals in Thailand

Disabilities, Journal Year: 2024, Volume and Issue: 4(3), P. 696 - 723

Published: Sept. 17, 2024

This study investigates the sociodemographic and contextual determinants influencing Internet usage among individuals with visual impairments in Thailand, contributing to literature on digital disability divide. Data from “Disability Survey 2022” conducted by National Statistical Office of Thailand were used. Descriptive statistics, chi-square tests, logistic regression analysis performed data 5621 visually impaired respondents. The findings indicate that approximately 26.88% use Internet. highlights several critical disparities. Males exhibit lower odds compared females (adjusted ratio [AOR] = 0.850, p 0.034). Younger are more likely Internet; a decline was observed increasing age (AOR for 60+ years 0.052, < 0.001). Regional disparities evident. Individuals northeastern 2.044, 0.001), central 1.356, 0.008), southern 1.992, 0.001) regions showed higher those northern region. Higher income 5000–9999 THB 1.798, educational attainment bachelor’s degree 14.915, wealth index wealthy 5.034, increase likelihood use. Employed 3.159, unemployed individuals. Additionally, severity impairment is crucial, having low vision both eyes engage online than who completely blind 5.935, These highlight need comprehensive inclusion initiatives address various factors, including age-inclusive literacy programs, targeted regional infrastructure development, economic support improve access, advancements assistive technologies. provides valuable insights policymakers other developing countries, enhancing understanding divide informing strategies foster greater equity.

Language: Английский

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Innovations in Voice Navigation Using Object Detection to Empower the Visually Impaired

Published: Dec. 29, 2023

The project focuses on addressing the challenges faced by visually impaired individuals in navigating environments, especially when encountering obstacles or misplacing essential tools like walking sticks. A novel solution is proposed: a voice-controlled smart stick, designed to enhance autonomy of people their daily activities without reliance others. This research introduces sophisticated stick equipped with ultrasonic sensors, operated via voice commands for ease use and accessibility distinguished its user-friendly interface, rapid responsiveness, minimal power consumption, lightweight design, folding handling. not only offers practical but also signifies significant advancement assistive technology, enhancing independence safety life.

Language: Английский

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IOT & Machine Learning Models to Develop The Architecture For Assessment Of Security Threats.

Published: Oct. 27, 2023

The Internet of Things (IoT) and other recent advancements in communication information technology have profoundly impacted enhanced people's quality life. IoT systems are vulnerable to previously unanticipated cyber threats such as denial service, jamming, phishing, obfuscations eavesdropping, spoofing invasions because the widespread availability rising demand for connected devices. emerging cyber-physical security problem is difficult avoid guard against using conventional methods. Securing calls robust, dynamic, current mechanisms. When addressing concerns (CPS), machine learning (ML) often regarded most cutting- edge promising option. This literature review explains how IoTs built, looks into many they face, discusses up-to-date efforts being made ensure their learning. In addition, it covers some research obstacles that may arise future while trying implement measures infrastructure.

Language: Английский

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Secure Online Mobile Design and Development of Banking System

Published: Oct. 27, 2023

The rise in the use of online banking by a growing number consumers has led to an increased attractiveness systems as potential targets for assaults. Banks must learn how hackers effectively compromise customer accounts secure platforms. research offers redesigned strategy enhance authentication methods consumers. In this idea, identity-based mediated RSA (IB-mRSA) and idea unique identifier are put together. goal is strengthen security, reduce risks like swallow's forays, forestall assaults replays. As part its functionality, system shown here uses technique separating client Certification Authority (CA) server private keys. Because each signature requires participation from both CA, there no way any party deceive other. resultant model seems feasible, computationally terms storage space. results tests demonstrate that proposed paradigm effective.

Language: Английский

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Social Media Marketing Using the AIML Algorithm

Published: Oct. 27, 2023

This study aims to investigate how artificial intelligence (AI) has altered online marketing through a social media. The authors began their of people embrace new technologies by using the UTAUT framework. research team used statistics conclude and utilize technologies. In this article, writers connections between "social media marketing", "machine learning", media." Given incidence with which "ML methods are in SMM campaigns, "consumer familiarity "AI-based technology built upon three pillars. (Listenership/opinion/image analysis)." survey over 100 individuals from all across globe responded. means that internet strategies given greater attention. A marketer may train computer algorithms for machine learning identify potentially malicious trends postings Therefore, gives views on base studies. course be taken digitally its entirety. data demonstrate considering AI Media software naturally curious rely importance suggestion. As part Futures Web study, developers AI-powered will conduct user interviews see eventual end users plan put program's features use. present remained statistical, respondents were selected at chance globe. Thus, findings should interpreted caution.

Language: Английский

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Green Marketing Analysis for significant Investment Utilizing NLP Process

Published: Oct. 27, 2023

Machine learning techniques grounded on mathematical linguistics, such as Natural Language Processing, may detect shifts in public sentiment. This article explores the potential of using Latent Dirichlet Allocation (LDA) and natural language processing (NLP) methods to gauge public's rising concern for ecological conservation issues. It will serve foundation upon which factories base their eco-marketing choices. Massive expenditures are needed refocus manufacturing green commodities creation, market introduction new products, promotion energy-saving technology. Capturing consistent demand from contractors customers decolonization is essential generating a profit. The contrasts traditional data collection (such surveys) with more modern machine techniques. Popularity, media coverage, variety people actively engaged discussion used determine importance various sources. World Health Organization (WHO) has made connection between pollution environment deteriorating health. author identified foundational classes terms that shape how think about environmental marketing. report uses NLP feel marketing concepts.

Language: Английский

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