Search
81 articles for “social media use”
-
Depression Detection Using Machine Learning: A Comprehensive Review
Abstract: Depression remains one of the most prevalent mental health conditions globally, yet it frequently goes undiagnosed due to the reliance on subjective evaluation methods. With the growing availability of digital behavioral data and significant progress in machine learning (ML), new possibilities have emerged for the automated detection of depression. This review offers a detailed examination of recent advancements in ML-driven approaches to identifying depressive symptoms. It covers a range of …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 27–32 Read article
-
Internet: Web 3.0 and the Rise of the Metaverse
Abstract: After the evolution of the internet, the first information superhighway was the read-only web and the participatory social web, the user-generated and social media web. Now, the Semantic Web, which is also known as the read-write-trust web is slated to transpire the next iteration of the internet. The read-write-execute web is considered the ensuing leap in the progression of the internet; imaging a decentralized ecosystem based on blockchain technology. Metaverse …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 1, 2025 · pp. 37–48 Read article
-
Data Mining for E-Commerce and Social Media: Insights and Future Research Directions
Abstract: The fast expansion of e-commerce and social media has heralded a new era of data-rich settings, with enormous quantities of user interactions, preferences, and transactions generated on a daily basis. Data mining has developed as a critical strategy for leveraging big datasets, allowing businesses to gain concrete knowledge and drive decision-making. Data mining in e-commerce improves operational efficiency and user pleasure by allowing for personalized recommendations, consumer segmentation, fraud detection, …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 1, 2025 · pp. 14–23 Read article
-
Evaluation of Machine Learning Classifiers for Sentiment Analysis
Abstract: Sentiment in social media refers to users’ emotions and opinions through their posts and interactions. Sentiment analysis (SA) refers to relating and classifying the sentiments expressed as engagement and interactions between users. When analyzed, tweets frequently produce a large source of clustered data. These data help determine people’s opinions about a variety of motifs. Thus, this study presents an Automated Machine Learning (ML) Sentiment Analysis Model to detect media sentiment. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 141–154 Read article
-
Role and Importance of Machine Learning in Social Media
Abstract: The widespread adoption of social media platforms has transformed the way individuals interact and communicate. Going beyond personal connections, social media has evolved into a potent tool for sharing information, shaping ideas, and fostering participation across various industries. Machine learning is pivotal in enhancing social media's impact. Social media generates vast data daily, and machine learning is essential for extracting insights. Sentiment analysis, a machine learning application, identifies emotions in …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 23–30 Read article
-
Comparative Study of BERT Variants for Sentiment Analysis with Error Analysis
Abstract: The use of media is going up fast in India, and this has led to the rise of Hinglish. Hinglish is an informal blend of Hindi and English that people commonly use in everyday conversations, especially across social media platforms such as Twitter, Facebook, and WhatsApp. People use Hinglish to talk to each other in a way that is not very formal. Hinglish blends English vocabulary with informal usage, often …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 39–48 Read article
-
Untethered Anxiety: Managing the Challenges Brought on by Nomophobia
Abstract: All phones, computers, calculators, radios, televisions, recorders, cameras, video recorders, and notably libraries have been superseded by smartphones, making them unique. Finding the positive aspects of a smartphone for pupils is beneficial. These days, cell phones are a big element of techno culture, especially for younger people. Social media sites are widely used by college students in ways that could negatively impact several facets of their lives. The “overconnection syndrome” …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 9–13 Read article
-
A study on Public Perception and self-medication practices with Over-the-counter (OTC) Drugs
Abstract: Over-the-counter (OTC) medications are commonly used by individuals for self-medication due to their easy availability and the general belief that they are safe. However, misuse can lead to negative health outcomes such as adverse reactions, drug interactions, and delays in seeking professional medical care. In a country like India, where enforcement of drug regulations can vary and socioeconomic factors play a major role, the practice of self-medication is especially widespread. …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 01–07 Read article
-
A Mathematical Perspective on Recent Cloud-Computing Trends for Scalable and Secure Social-Media Platforms
Abstract: Cloud computing underpins modern social-media platforms by providing elastic compute, storage, and data-processing pipelines capable of absorbing highly bursty workloads. This paper surveys recent cloud-native trends—serverless and event-driven design, container orchestration, edge/CDN offload, streaming analytics, and privacy-enhancing security controls—and formalizes their impact through a compact mathematical model. We express workload volatility using arrival-rate functions, use queueing-based capacity sizing to derive auto-scaling rules, and formulate an optimization objective that balances cost …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 35–40 Read article
-
Evaluating the Efficiency of LLMs-SA (Sentiment Analysis) via Social Media Texts
Abstract: Sentiment analysis (SA) is becoming popular in business and scientific communities as the processing of natural language (NLP), computational linguistics, text analytics, image-based processing or video- based processing is used in extracting and mining subjective information in the web, social network, etc. It is able to detect positive, negative or neutral information and can be selected to absorb polarity, sentiments, urgency and goals of mount importance. The majority of the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
-
Use of Modern Techniques in Library and Information Centers
Abstract: The integration of modern techniques in libraries and information centers has significantly revolutionized the way information is accessed, managed, and disseminated. Advancements in technology have moved libraries beyond their traditional roles as book repositories, enabling them to serve as dynamic information hubs. Automated Library Systems (ALS) have streamlined processes such as cataloging, circulation, and acquisitions, making it easier for patrons to search and access materials Radio Frequency Identification (RFID) technology …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 57–61 Read article
-
AI- based Prediction of Misinformation Virality Before Wide Dissemination using Attention-based Multi-modal
Abstract: Misinformation on social media has emerged as a critical global challenge, impacting public health, democratic institutions, and societal trust. While existing research has largely concentrated on detecting misinformation after it begins circulating, predicting its virality before wide dissemination remains an underexplored area, limited work addresses predicting its virality before wide dissemination. This paper presents a conceptual framework using attention-based multi-modal deep learning models to estimate the virality of misinformation posts …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 3, 2025 Read article
-
Sentiment Analysis of X (Formerly Twitter) Using Machine Learning
Abstract: Sentiment analysis is a methodology to determine the nature and behavior of each and every user for the content posted on the social media platform in the form of post and feed. Consumers of the online platform are encouraged to post reviews of the product that they purchase. Little attempt is created by Amazon to confine or limit the content of these reviews. The number of reviews for various merchandise …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 28–37 Read article
-
Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 Read article
-
Taskpro AI: Redefining Small Business Content Creation Through Advanced AI Innovation
Abstract: TaskPro AI is a chatbot made using the GPT-4.0 API key to revolutionize textual content creation for small businesses. Harnessing the power of generative AI, TaskPro AI is a versatile tool for generating various writing works, including blog posts, product articles, social media captions, and more. The chatbot streamlines content creation by providing users with an intuitive interface, making it effortless to articulate their ideas, thanks to its advanced capabilities. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 1, 2024 · pp. 7–13 Read article
-
Evaluating Web Content and Design Trends: A Comprehensive Study of Forest Institute Library Websites of ICFRE
Abstract: This study evaluates the website content and design features of forest institute libraries under the Indian Council of Forestry Research and Education (ICFRE). A comprehensive checklist comprising eight categories and 60 parameters was developed to assess nine regional forest institute websites systematically. The findings reveal that all websites (100%) feature visible and contrasted colour schemes with clear and easily readable text. Moreover, every institute’s website includes webmail functionality, copyright information, …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 2, 2025 · pp. 1–11 Read article
-
A Review on Punjabi Language Sentiment Analysis Using Machine Learning
Abstract: In this computer era, everyone is expressing their opinions or sentiments not only physically but over the social media platforms very frequently. Earlier, English was the only language for exchanging thoughts over the web, however, in the recent times, feedbacks, surveys or comments by the users are expressed in regional languages too. This leads to the need of analyzing sentiments for better communication on the digital platforms. For example, if …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 116–122 Read article
-
Navigating the Digital Frontier: An In-depth Analysis of Classroom Digitalization
Abstract: When we talk about the Internet, we think about the likes of social media, or platforms like Google which has an unfathomable archive of information which is available for any and every individual to use up to their own likings. However, there are several challenges and complexities associated with the Internet's impact on social interactions. The issues of online harassment, privacy, and the addictive nature of social media have become …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 1, Issue 2, 2023 · pp. 14–20 Read article
-
Punjabi Text Sentiment Analysis Using Indic NLP
Abstract: Sentiment Analysis has become one of the challenging domains with the gaining popularity of Internet and social media platforms. Sentiment or opinion mining means to know people’s opinion, attitude, views and emotions towards anything. Sentiment analysis in English language has already been analyzing but there is a need of analyzing sentiments in other regional language in which Punjabi language is one of them. Users from the Punjab state of India …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 38–42 Read article
-
Comparative Study of AI-Driven Fashion Trend Prediction System Using AI and ML: A Review
Abstract: To overcome the challenges in fashion trend forecasting, researchers have introduced several advanced and data-driven approaches. One such method uses a long short-term memory (LSTM) model combined with an encoder-decoder architecture to extract meaningful fashion content and recognize styles from product images. This model achieves higher accuracy in predicting upcoming fashion trends by incorporating varying price intervals and has shown impressive results when evaluated on the Amazon fashion dataset. Another …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 35–41 Read article