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133 articles for “Social media data”
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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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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
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A Comprehensive Review on Python based NLP Approaches for Sentiment Analysis
Abstract: Sentiment analysis, also known as opinion mining, is a burgeoning field in natural language processing that involves the computational analysis of textual data to determine and quantify the sentiment expressed within. This study presents a comprehensive exploration of sentiment analysis using Python, focusing on techniques, methodologies, and tools that enable the extraction of sentiment polarity from diverse textual sources. The review commences with an overview of the importance of sentiment …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 1–7 Read article
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Harvestify: ML Based Tool for Home Gardening and Farming
Abstract: This study presents a cutting-edge application that will transform home gardening and agriculture practices using machine learning (ML) approaches. The main goal is to provide data-driven insights to home gardeners and farmers, enabling them to implement efficient and sustainable farming practices. Crop disease detection, fertiliser recommendation, and a community section for user engagement comprise the three main elements that make up the system's architecture. The Crop Disease Detection module analyses …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 18–28 Read article
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Development of Blockchain Social Network
Abstract: Social media has become an important and prevalent part of people’s lives, as billions of people use social networks every day. But this has given rise to concerns regarding security, privacy, censorship, and management issues. The current social networks are centralized, which allows the big companies to observe and track the activities and behaviours of their user base. These big companies tend to use data for third parties, keeping huge …
Published in Journal of Advances in Shell Programming · Vol. 9, Issue 2, 2022 · pp. 32–41 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
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Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Reducing Of Misinformation InflunceIn Online Social Network Using Heuristic Greedy Algorithm
Abstract: Now a day we use social media to communicate and share the information throughout the world. Many of us depend on this social media now a days everything is available here, once we access the media, we lots of information about our search, there is chances of have misinformation also. The authenticity of information content is weakened, and all kinds of misinformation depend on social media to spread rapidly. Network …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 1, 2022 · pp. 24–30 Read article
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Visual Recognition with Convolutional Neural Networks for Object Detection
Abstract: Various research and development have taken place over the years on computer vision which is a branch of AI. AI disciplines like a vision system is applied in various fields like self-driving cars, face detection by social media apps and law enforcement software’s google lens and so on. The proposed system deals with design and implementation of an efficient way of training a GPU using python libraries to process and …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 2, 2024 · pp. 07–13 Read article
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A Descriptive Study to Assess the Knowledge Attitude, Practice and Concerns Regarding Covid 19 Vaccine and its Information Sources Among General Population of Urban Health Centre of SGRD Hospital, Sri Amritsar
Abstract: The SARS CoV-2 virus, which causes the acute respiratory illness coronavirus disease 2019, was initially discovered in late 2019 in Wuhan, China. The disease then spread quickly throughout the nation, and later the entire world had to suffer and expend extra effort by putting various measures in place to manage and avoid the COVID-19 pandemic. 100 participants were recruited for a descriptive study. Data and a socio-demographic profile were used …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 14, Issue 2, 2023 · pp. 42–51 Read article
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Understanding the Intersectional Challenges of LGBTQ community in the Indian Society: A Systematic Review Paper
Abstract: This study examines the intersectional issues that the LGBTQ population faces in Indian society, examining how their lived experiences are shaped by caste, class, religion, and regional differences. The purpose of this study is to investigate how the experiences of LGBTQ people in India are impacted by several axes of identification, including caste-based discrimination, economic position, geographical inequities, and religious biases. 43 research papers have been reviewed from which 30 …
Published in Recent Trends in Social Studies · Vol. 2, Issue 2, 2025 · pp. 22–30 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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The Impact of AI-Driven Real-Time Feedback Systems on Students’ Self-Regulated Learning and Academic Persistence in Secondary Schools, Nigeria
Abstract: Self-regulated learning (SRL) is essential for secondary school students to achieve academic success and lifelong learning competencies, particularly in contexts requiring greater learner autonomy. This expository article examines the potential of Artificial Intelligence (AI)-driven real-time feedback systems to support SRL processes—planning (forethought), monitoring (performance/control), and reflection—within Nigerian secondary education. Grounded in Zimmerman’s cyclical SRL model and Bandura’s Social Cognitive Theory, the paper conceptualises AI tools (e.g., intelligent tutoring systems, learning …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 Read article
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The Impact of AI-Driven Real-Time Feedback Systems on Students’ Self-Regulated Learning and Academic Persistence in Secondary Schools, Nigeria
Abstract: Self-regulated learning (SRL) is essential for secondary school students to achieve academic success and lifelong learning competencies, particularly in contexts requiring greater learner autonomy. This expository article examines the potential of Artificial Intelligence (AI)-driven real-time feedback systems to support SRL processes—planning (forethought), monitoring (performance/control), and reflection—within Nigerian secondary education. Grounded in Zimmerman’s cyclical SRL model and Bandura’s Social Cognitive Theory, the paper conceptualises AI tools (e.g., intelligent tutoring systems, learning …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 15–26 Read article
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Sentiment Analysis of E-Commerce Reviews using Machine Learning
Abstract: In e-commerce, sentiment pertains to the emotional responses, opinions, or perceptions that customers have about their online shopping experiences, including factors like product quality, service, and various processes such as ordering, shipping, and customer support. Sentiment analysis, which involves machine learning techniques, plays a crucial role in deciphering these sentiments. By using sentiment analysis, companies can obtain valuable insights from customer feedback from diverse online sources, including social media, surveys, …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 25–37 Read article
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Impact of Cyber Security on Modern Warfare
Abstract: Cyber technology is frequently utilized to share information and data and to develop communication with a nearly infinite audience. This technology has developed a worldwide network. As a contemporary military instrument, cyber technology has the potential to be used in a variety of ways. Today’s cyber warfare dangers might be encountered in a variety of ways since modern cyber warfare has taken a backseat to physical war techniques in the …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 29–33 Read article
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Instagram Therapists vs. Qualified Mental Health Professionals: How Young Adults Perceive and Navigate Mental Health Advice Online
Abstract: The growing presence of “Instagram Therapists” - individuals who share mental health advice on Instagram without formal qualifications - has raised important questions about the credibility of online mental health information. In contrast, are qualified mental health professionals and licensed practitioners. Existing literature shows a surge in young adults turning to social media for mental health guidance. However, limited research delves into how they perceive and differentiate between advice from …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 · pp. 26–37 Read article
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Agricultural Information System Program and Environmental Management
Abstract: Some countries use agricultural information systems to assist various users, including planters,researchers, prospective buyers, importers and exporters. First apps that came to light inMobile devices were social media and different entertainment channels. They are usedextensively by the people for communication, music, entertainment, Internet and socialnetworking. There is a lack of applications, which can be really useful for professionals toimprove their working capabilities. Though people living in rural areas use mobile …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 10, Issue 3, 2020 · pp. 1–9 Read article
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Lived Experience of Married Middle-aged Women Regarding Marital Satisfaction
Abstract: Introduction: Marital satisfaction is a significant contributor to general sense of happiness. A fulfilling marital relationship meets the intimacy requirements of both partners and contributes to their overall physical and mental well-being. However, elderly couples in today's era face new challenges associated with prolonged longevity. A study was conducted to explore the lived experience of marital satisfaction among married middle-aged women in selected community in Kannur. Objective of study was …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 47–51 Read article
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Effects of Reels and short videos on human mind and Academic Life
Abstract: The rapid rise of short-form video platforms such as Instagram Reels, TikTok, and YouTube Shorts has fundamentally reshaped the way people consume information and entertainment. While these applications offer quick engagement and social connection, their excessive use has raised serious concerns about their psychological and academic impacts. This research investigates the relationship between short-form video addiction, mindfulness, academic anxiety, and academic engagement among university students. Drawing upon the theoretical framework …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 22–33 Read article