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222 articles for “Social media”
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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
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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
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A Study on the Factors Influencing the Buying Behaviour of Organic Food Products Amongst Gen Z in Mumbai
Abstract: This study explores the key variables that shape the purchasing behavior of Generation Z (Gen Z) consumers in Mumbai with regard to organic products. As awareness about health and sustainability continues to grow, understanding the preferences of this consumer group has become increasingly important. The research is based on a structured quantitative survey conducted among 100 Gen Z consumers residing in Mumbai. The responses reveal that several factors, including price, …
Published in International Journal of Sustainability · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Aspect-Based Sentiment Analysis Using a Hybrid Approach with Dependency Parsing
Abstract: The rapid expansion of digital communication has resulted in an unprecedented volume of consumer-generated textual data across online reviews, social media platforms, forums, and e-commerce websites. Extracting meaningful insights from this data is increasingly important for organizations seeking to understand customer opinions, preferences, and behavioral trends. Despite significant advances in sentiment analysis, many existing approaches primarily focus on surface-level features and often overlook deeper syntactic and semantic relationships within text. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 01–09 Read article
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Designing an AI-Based Platform for Stock Market Prediction
Abstract: The AI-Based Platform for Stock Market Prediction is an advanced tool designed to forecast stock prices and market trends using artificial intelligence. This platform combines machine learning algorithms, real-time financial data, and sentiment analysis to provide investors with actionable insights. The platform uses advanced predictive techniques like Long Short-Term Memory (LSTM) networks and Gradient Boosting Machines to generate precise and reliable forecasts. Additionally, it incorporates interactive visualizations and portfolio optimization …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 14–19 Read article
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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
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Stock Market Prediction Using Machine Learning: Techniques, Challenges, and Future Directions
Abstract: The continuous advancement of machine learning (ML) technologies has significantly transformed the field of financial forecasting, particularly in the area of stock market prediction. The ability to accurately forecast stock price movements and market trends plays a crucial role in supporting informed investment strategies and effective risk management. This paper provides a comprehensive review of recent developments in the application of ML techniques for predicting stock market behavior. It classifies …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 10–16 Read article
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AI-Based House Price Prediction
Abstract: The housing market is one of the most dynamic and significant sectors of any economy, influencing both individual wealth and broader economic stability. Buyers, sellers, investors, and policymakers all rely on accurate housing price predictions. With the advent of artificial intelligence (AI) technologies, particularly machine learning algorithms, the task of house price prediction has seen remarkable advancements. This study provides a detailed overview of AI-based techniques for house price prediction. …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 1–7 Read article
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Using Convolutional Neural Networks (CNN) for Age and Gender Prediction
Abstract: The network, security, and care have all become more dependent on age and gender identification. It's commonly used for children's access to age-appropriate content. To expand its reach, social media uses it to provide layered adverts and marketing. Face recognition has progressed to the point where we need to map it out further in order to achieve more usable results using various methodologies. In this study, we suggest using deep …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 27–32 Read article
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Sentiment Analysis on Financial News Using Deep Learning Algorithm
Abstract: Sentiment analysis is the technique of computationally figuring out and categorizing reviews or comments expressed in a bit of textual content, especially a good way to decide whether or not the writer's mind-set in the direction and also very helpful to identify the customer’s opinion about the particular product or content. It is one of the active and wanted research areas in natural language processing. In existing work, machine learning …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 24–27 Read article
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Awareness, Attitude and Perceptions towards Stem Cells in Hearing Sciences among Audiologist: Survey across Delhi (NCR)
Abstract: Introduction: Many management approaches for hearing impairment has been developed and the most recent approach is the stem cell therapy. Stem cells have the potential to give rise to differentiated cells with specialized functions as they are capable of perpetuating themselves through cell division. There are several evidential studies that support stem cell regeneration for hearing loss. As audiologists are one of the main pillars in the field of hearing …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 3, 2018 · pp. 7–16 Read article
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Smartphone Addiction and Its Repercussions on Social Lives and Mental Health
Abstract: Our world is now a digital one, where smartphones and other electronic devices have become an inseparable part of our daily routine. In today's digital world, it is hard to imagine a life without smartphones and other technological devices. However, the increasing reliance on these devices has given rise to a prevalent issue known as Nomophobia, or the fear of being without a mobile phone. This phenomenon has become particularly …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 1, 2023 · pp. 16–25 Read article
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Mental Health and Artificial Intelligence (AI): Marching towards Future
Abstract: One of the most crucial but frequently disregarded facets of our wellbeing is our mental health. In the medical domains of dermatology, radiology, and oncology, artificial intelligence (AI) is being used more and more. AI hasn't been heavily utilised in mental healthcare, though. The need for AI to help identify high-risk individuals and give interventions to prevent and treat mental illnesses is essential due to the high morbidity and mortality …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 3, 2023 · pp. 91–95 Read article
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Design of a Navigation App with AR And VR Features
Abstract: Augmented Reality (AR) is an interactive experience of a real-world environment which is the integration of digital information with the user’s environment in real-time. Unlike virtual reality (VR), which generates a completely artificial environment, AR utilizes the current environment and additionally overlays fresh data. The ultimate objective here is to design a navigation app which uses the features of AR and VR in an effective manner to the travelers. Most …
Published in Journal of Mechatronics and Automation · Vol. 6, Issue 2, 2019 · pp. 1–5 Read article
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Statistical and AI Approaches to Measure Sustainability Performance of Enterprises
Abstract: Measuring sustainability performance has become a critical priority for enterprises facing increasing regulatory pressure, stakeholder expectations, and global sustainability challenges. Traditional assessment methods, largely based on static indicators and manual reporting, often struggle to capture the multidimensional, dynamic, and data-intensive nature of sustainability. This study explores the integration of statistical and artificial intelligence (AI) approaches to evaluate and enhance the sustainability performance of enterprises in a more robust, accurate, and …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 30–36 Read article
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Design and Development of a Campus Placement Experiences Hub
Abstract: Campus placement preparation is an important stage in every student's academic journey, but many students struggle because they do not have access to accurate and well-organized information about company recruitment processes. Most of the available guidance comes from informal conversations with seniors, classmates, or social media groups, where the information is often incomplete, outdated, or difficult to verify. As a result, students may not fully understand the interview process, the …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 2, 2026 · pp. 8–14 Read article
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MoboAce.in: A Success and A Failure
Abstract: The manuscript comprises of the personal experience being gained while developing an e-commerce website: MoBoAce.in. While working with this website we got to increase our knowledge and understanding about the e-commerce world, e-marketing, social media marketing and various other fields.Keywords: Moboace.in, e-commerce, DIY builders, webhosting companiesCite this ArticleChirag Khandelwal, Gaurav Khandelwal. MoboAce.in: A Success and a Failure. E-Commerce for Future & Trends. 2015; 2(2): 15–18p.
Published in E-Commerce for Future & Trends · Vol. 2, Issue 2, 2015 · pp. 15–18 Read article
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Various Techniques of Sentiment Analysis on Twitter Data Set: A Survey
Abstract: AbstractSentiment analysis is the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. Sentiment analysis could be a variety of data processing that measures the inclination of people’s opinions through natural language processing (NLP), linguistics and text analysis, that square measure want to extract and analyze …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 27–32 Read article
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Russian e-commerce: feel the difference
Abstract: Question, how can a foreign company break into the Russian market and create prosperity.A growing number of foreign companies that are opening online businesses in Russia are forecasting labor costs and producing business plans based on the tried and tested techniques used in their own respective markets of their own countries. The issue most do not identify though, is that the world of Russian e-Commerce has its own peculiarities and …
Published in E-Commerce for Future & Trends · Vol. 5, Issue 2, 2018 · pp. 13–16 Read article
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Sentiment Analysis for Financial Predictions: A Review
Abstract: AbstractSentiment analysis is one of the popular research areas in computer science, as it finds its application in numerous areas like finance, election and product reviews. Behavioral economics suggests that decision of investing in financial markets is driven by feelings like greed, fear etc. With widespread adoption of technology and digitization of corporate disclosures, news and social media platforms, and information expressed through words can be mined and used to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 59–68 Read article