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133 articles for “Social media data”
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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
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Applying Text Analysis Methods for Emotion Recognition
Abstract: This article presents a comprehensive study of sentiment analysis, a vital task in the realms of natural language processing (NLP) and artificial intelligence (AI). Sentiment analysis involves the extraction and classification of subjective information from textual data, determining whether the sentiment expressed is positive or negative. This paper investigates different approaches and methodologies used in sentiment analysis, encompassing machine learning models as well. Additionally, it discusses the challenges faced in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 12–22 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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Measuring Social Media’s Impact on Impulse Buying Behavior
Abstract: This study investigates the influence of social media on impulse buying behavior, focusing on how various platforms drive spontaneous purchases and the psychological and demographic factors that contribute to this behavior. Using a mixed-method approach, the research combines quantitative surveys with qualitative insights to offer a comprehensive analysis. We explore how different types of content, such as targeted advertisements, influencer endorsements, and user-generated media, impact consumer impulses. The study examines …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 14–22 Read article
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Sentimental Analysis in Twitter Using Python
Abstract: Social media websites are a great source of information because they have a lot of data. For instance, Twitter generates millions of packets of text. These statistics may be employed for commercial or charitable purposes. One of the hottest new buzzwords for many business strategies is the analysis of data from these social networking websites. Sentimental analysis can be used to manage election campaigns, global health problems, technical concepts, inventions, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 28–32 Read article
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Role of Organizational Culture in Mediating AI-Induced Social Alienation: A Meta-Analysis
Abstract: The fast adoption of artificial intelligence (AI) in the workplace has raised worries about its influence on employee well-being, particularly social alienation. Social alienation is characterised by feelings of detachment and estrangement at work. It can harm job satisfaction, staff engagement, and organisational performance. Existing literature suggests that organizational culture is crucial in shaping employee experiences with AI technologies. This meta-analysis investigates how organizational culture mediates the relationship between AI …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 28–33 Read article
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Sentiment Analysis of Twitter Data for Better Services of Airlines Using Classifier-Model Algorithms, AI, and NLP Techniques
Abstract: The rising attractiveness of social media sites and usage of social websites is to share information. Tweet, for instance, is a stage in which audiences direct, and examine posts recognized as “tweets,” and engage together in one-of-a-kind communities through feedback, comments, tweets, and reviews. There are so many companies that want tweets, comments, reviews, and analyses on their products and services, so they can improve their services, products, and customer …
Published in Current Trends in Information Technology · Vol. 12, Issue 3, 2022 · pp. 29–46 Read article
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The Use of Social Media Devices in Choosing Dentists
Abstract: Developments in technology enable widespread use of the internet all over the world. Social media- on which individuals and institutions can share their knowledge, thoughts and experiences along with the spread of the internet- has today become an effective social network. Consumers can reach the information they need regardless of time and location by using social media platforms, and thus, they can share their positive and negative experiences. Dentists use …
Published in Research and Reviews: A Journal of Dentistry · Vol. 12, Issue 1, 2021 · pp. 28–39 Read article
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Prevalence of Social Media Addiction Among Nursing Students: A Descriptive Study from Bhopal, India
Abstract: INTRODUCTION: Social media has become an important part of students’ everyday lives, serving as a platform for communication, learning, entertainment, and the exchange of information. Despite its benefits, prolonged or uncontrolled use of social media can develop into addictive behaviour, which may adversely influence students’ academic achievement, psychological well-being, sleep patterns, and interpersonal relationships. At the global level, approximately 56.8% of the population is reported to use social media. Furthermore, …
Published in Journal of Nursing Science & Practice · Vol. 16, Issue 3, 2026 Read article
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Study of Data Science in Online Behavioral Advertising
Abstract: The proliferation of the COVID-19 pandemic has led to a growing significance of social media in people's lives. Online activity in the digital domain has expanded considerably, showing a higher reliance on social media platforms for communication in both personal and professional situations. Coronavirus has a global impact on e-commerce and hence transformed the nature of business. Despite the COVID-19 issue and economic slowdown, the Indian e-commerce industry exhibited an …
Published in Journal of Open Source Developments · Vol. 10, Issue 3, 2023 · pp. 1–6 Read article
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Nexus: A Social Media Application
Abstract: As the Android is the world class platform today and approximately used by 1.4 billion people in the world; hence, we have chosen the Android platform in the world of mobile development rather than choosing other platform like windows. We plan on exploiting this information to provide users with an application which will allow them to safely use a social platform without getting useless information or distractions as the application …
Published in Journal of Advances in Shell Programming · Vol. 8, Issue 1, 2021 · pp. 1–4 Read article
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Text Mining Algorithms in Social Media
Abstract: AbstractSocial networks are wealthy in different sorts of substance, for example, texts and multimedia. The capacity to apply text mining calculations viably with regards to content information is basic for a wide assortment of uses. Interpersonal organizations require text mining calculations for a wide assortment of uses, for example, watchword search, characterization, and bunching. While search and characterization are notable applications for a wide assortment of situations, interpersonal organizations have …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 3, 2020 · pp. 26–29 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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Social Emotion Prediction: A Review of Sentiment Analysis Techniques Used in Social Networks
Abstract: Social media has become the most substantial resource of information due to its rapid growth from last one and half decade. Web users share their ideas, thoughts, experiences, and opinions about different entities and events through social networks, blogging platforms, forums, and reviews. Social media tends to attract more and more researchers to analyze this tremendous amount of unstructured data for creating new insights. This data is used for sentiment …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 26–35 Read article
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The Awareness–Behaviour Paradox: Media Literacy and Social Media Risk Behaviour Among Nigerian Undergraduates
Abstract: Background: The proliferation of internet-capable devices and social media platforms has created an intricate web of risks for Nigerian undergraduates, including cyberbullying, addiction, misinformation, and exposure to indecent content. While media literacy has been widely proposed in Western scholarship as a sustainable intervention for responsible online behaviour, its protective mechanisms remain insufficiently understood in non-Western contexts, particularly with respect to the psychological pathways through which literacy operates.Objectives: This study examined …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 121–126 Read article
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Intrinsic Evaluation of Graph Embeddings: Assessing Clustering and Community Detection Performance
Abstract: This paper presents an intrinsic evaluation of some graph embedding techniques on clustering and community detection tasks. We analyze a diverse set of embedding methods, ranging from traditional techniques such as Laplacian eigenmaps to more recent approaches like graph autoencoders, high-order proximity preserved embedding (HOPE), and graph attention network (GAT), using two widely studied datasets, Cora and CiteSeer. Our evaluation relies on two main metrics: Silhouette score with respect to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 40–48 Read article
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Emerging Trends in Social Media Usage: A Study of Teenagers of SRINAGAR
Abstract: In recent years, social media has attained considerable importance throughout the world. It is because of its unique advantages and greater outreach that millions of people are using it every day. Among the wide range of the social media available, social networking sites have become one of the most popular social media platforms used today. Thus, the inception of social networking sites like Facebook, Twitter, Instagram, Skype, YouTube, etc. have …
Published in E-Commerce for Future & Trends · Vol. 5, Issue 3, 2018 · pp. 1–6 Read article
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Pre-processing of Social Media Posts
Abstract: Social media has become a slogan in emotion and sentiment analysis. In today’s era Social media networking sites are almost used by everyone. Social media users share their feelings, thoughts, and experiences with other people by short messages. Short messages are composed of emoticons, slangs, noises, irrelevancies and words. Thus, preprocessing becomes the challenging task for Sentiment analysis. This experiment is performed to evaluate the impact of pre-processing on social …
Published in Recent Trends in Programming languages · Vol. 5, Issue 1, 2018 · pp. 14–18 Read article
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Phubbing, Social Anxiety and Perceived Control in Young Adults
Abstract: This study examines the complex interactions among ten empirical studies on social anxiety, phubbing (phone snubbing), and perceived control. Psychological research has focused a great deal of attention on social anxiety, which is characterized by the fear of being negatively evaluated in social situations. Phubbing, the practice of people prioritizing their phones over interpersonal interactions, has become more common in recent years due to the widespread use of smartphones. This …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 18–25 Read article
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A Study on Social Networks and Digital Security in Cyber World
Abstract: With blasting innovation, informal organizations have been popular in the course of recent years as it is advancing by time. The central purpose for this happens as informal organizations give a stage to clients to interface with their family, companions, and friends. The data on interpersonal organizations and media course rapidly, which makes it simple for assailants to acquire data. There are various security and protection issues particularly when a …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 2, 2021 · pp. 36–43 Read article