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33 articles for “Social Media Intelligence”
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Emote_X: An AI-Driven Framework for Real-Time Twitter Sentiment Classification Using Machine Learning
Abstract: Social media has become one of the ways people share their thoughts, feelings and responses to what is happening in the world. Twitter, which is now called X is an example. It creates a constant flow of short messages. These messages contain clues about how people feel in areas like business, health care, politics, entertainment and when there is a disaster. Tweets are very messy. They have abbreviations, hashtags, emojis, …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 3, 2026 Read article
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English Literature in the Digital Era: Transformations and Trends
Abstract: English literature context has been changed significantly with modernisation of the digital age that is creating a massive impact on creation, dissemination, and interpretation of literature. When one considers the relationship between literature and digital innovation, one may summarize these disruptive forces as both a challenge to and opportunity for literature — a hybridization of past forms. It explores how digital technologies have transformed reading practices, textual analysis, and the …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 · pp. 27–32 Read article
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The Role of Digital Innovations in the Transition of English Literature
Abstract: The context of English literature has changed significantly with modernization of the digital age that is creating massive impacts on the creation, dissemination, and interpretation of literature. The rapid evolution of digital technologies has profoundly influenced the study, creation, and distribution of English literature in the contemporary period. When one considers the relationship between literature and digital innovation, one may summarize these disruptive forces as both a challenge to and …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 13–18 Read article
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The Role of Digital Innovations in the Transition of English Literature
Abstract: English literature context has been changed significantly with modernisation of the digital age that is creating a massive impact on creation, dissemination, and interpretation of literature. When one considers the relationship between literature and digital innovation, one may summarize these disruptive forces as both a challenge to and opportunity for literature — a hybridization of past forms. It explores how digital technologies have transformed reading practices, textual analysis, and the …
Published in Emerging Trends in Languages · Vol. 2, Issue 2, 2025 Read article
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Detecting Hateful Content on Social Media
Abstract: Abstract: As humans have identified social media as an indispensable mode of interaction, their evil side seems to have spilled all over the social media platforms. With a humongous number of victims to hatred on the social media, we realized it must be rooted out. We proposed creating a classifier that learns from many a feature including lexical, semantic, syntactic, morphological and contextual features. This paper aims to revolve around …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 25–31 Read article
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AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications
Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 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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A New Evaluation Index for Application of Machine Learning Algorithms to Determine Trust in Skewed Social Media Data
Abstract: In this paper we study the problem of accuracy paradox which arises on the application of machine learning algorithms for inference of trust in skewed social media data. Skewness is defined as the under representation of one class over another in a binary classification problem. We achieved our purpose of identifying the accuracy paradox problem in various algorithms by identifying a new evaluation index called predictive index. The dataset used …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 49–57 Read article
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Sentiment Analysis and Stock Market Prediction-Using news to predict stock markets
Abstract: AbstractThe aim of this paper is to propose a relatively new approach regarding the influence of financial news on stock market prices. Previously, a lot of effort and research has been done to study the effect of historical stock market prices. This approach mainly involved time series numerical data to predict the future trend of stock markets. But, with the advent of superior computing power and computing techniques such as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 17–24 Read article
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Detecting Hateful Content on Social Media: A Survey
Abstract: Spreading hatred over social media is a growing menace. Whether in the form of discrimination, cyberbullying or trolls, malicious posts have pestered users throughout the globe. To overcome this nuisance, an automated hate text detector has almost become a necessity. Despite a few inherent limitations that hate speech detection has, there is work going on in this field,andthe scope for progress remains. Besides various techniques used in the state-of-the-art, this …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 3, 2020 · pp. 1–9 Read article
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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
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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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Social Media Blog Analysis using Watson Analytics
Abstract: AbstractAnalytics is defined as the discovery, interpretation, and communication of meaningful patterns in data. A blog is a discussion or informational website published on the world wide web consisting of discrete, often informal diary-style text entries and may contain unstructured or semi-structured data. The analysis of unstructured data types is current challenge, getting attention in industry. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization and information privacy. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 3, 2016 · pp. 15–21 Read article
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Business Automation Using Artificial Intelligence in Post COVID-19 Era
Abstract: After COVID-19, the business sector got hit pretty badly. The immediate transfer from traditional marketing to social media marketing changed up pretty quickly. People got confined inside their houses, so online shopping became the top priority, and it was the priority of every sector to bring their best game out on social media. A unique approach for better customer satisfaction was required. Delivering on these needs, we discuss various new …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 8, Issue 2, 2021 · pp. 1–6 Read article
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A Comprehensive Tool for Authenticating Instagram Profiles Using Instaloader
Abstract: With the rapid growth of Instagram as a dominant social media platform, there is an increasing need for tools that allow users to extract, analyze, and monitor profile data efficiently. Instagram has become one of the leading platforms for personal branding, influencer marketing, business promotion, and public communication. As businesses and individuals seek to better understand their presence and influence on this platform, the need for reliable data extraction tools …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 93–98 Read article
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Opinion Polls: Election Result Prediction Using Social Networking Sites - A Review
Abstract: AbstractThe impact of social media is increasing and is being embedded in daily life as it provides a platform for people to express their opinions, sentiments and feelings towards any particular topic. So the data from social media is used by researchers as a data source for opinion mining or sentiment analysis. It can be used to discover political preference of users regarding elections as it has become the most …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 1–7 Read article
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Using AIML to Enhance Demand Forecasting in Business
Abstract: Artificial intelligence machine learning (AIML) can play a significant role in enhancing demand forecasting in business. AIML is a programming language designed for creating chatbots and conversational agents, but its application extends beyond simple interactions. In the context of demand forecasting, AIML can be utilized to analyze historical data, customer interactions, and market trends. By implementing AIML algorithms, businesses can create intelligent models that learn from past demand patterns, customer …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 35–40 Read article
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Development of Hybrid Detection and Alert mechanism for Women Safety using AI
Abstract: The integration of AI-based smart surveillance systems in enhancing women's safety and security has been a focal point of research and development. This literature study explores the impact of information technology advancements, particularly in the realm of mobile applications, GPS tracking, and social media platforms, on improving women's safety. Noteworthy contributions include the development of apps such as Circle of 6 and Be Safe, which offer women immediate access to …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 1, 2024 · pp. 36–46 Read article
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Privacy Preservation Methods in Multimedia Applications: A Comprehensive Review
Abstract: This comprehensive review explores the current landscape of privacy preservation techniques in multimedia applications, offering a detailed examination of their effectiveness, limitations, and future directions. As the use of multimedia data continues to grow across diverse sectors such as healthcare, surveillance, social media, and entertainment, ensuring the confidentiality and integrity of this data has become a pressing concern. The study covers a broad spectrum of privacy-preserving approaches, from conventional cryptographic …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 2, 2025 · pp. 33–41 Read article
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Study of Social Trends Prediction Using AI
Abstract: AI (Artificial Intelligence) has fundamentally changed the ability to analyze social trends by using large datasets to develop predictions about human behavior, public sentiment, and global events. Using methodologies such as Natural Language Processing (NLP), Time-Series Forecasting, and Graph-Based Social Network Analysis, AI is able to find hidden correlations in a variety of available datasets, from social media to economic indicators to public records, and fundamentally changes decision-making based on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 19–29 Read article