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16 articles for “Sentiment”
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A Scalable Transformer-Based Framework for Sentiment Analysis and Public Opinion Mining Across Heterogeneous Social Media Platforms
Abstract: Social media platforms generate more than 500 million posts every day, creating a constantly changing record of public opinion about political events, public health crises, brands, and social movements. Although this data is extremely valuable, turning raw social media text into clear and useful opinion insights is still difficult because of three main challenges. First, different platforms such as Twitter/X, Reddit, YouTube, and Facebook use different writing styles, vocabulary, post …
Published in NOLEGEIN Journal of Advertising and Brand Management · Vol. 9, Issue 2, 2026 Read article
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Artificial Intelligence and Intelligent Machining Sentiment Analysis of Ecommerce Product Reviews
Abstract: Sentiment analysis plays a awfully necessary role in BI’s (Business Intelligence) applications that hasbeen evident in the recent market activities. Towards sentiment analysis for most of the favoredwebsites like Amazon, Facebook, Twitter necessitate the review of the shoppers that ar used as afeedback. It’s play vital role for product review, Business intelligence additionally as in deciding. Themain problem that arises to the purpose of read of users/customers is that, it …
Published in NOLEGEIN Journal of Information Technology & Management · Vol. 4, Issue 1, 2021 Read article
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Sentiment Analysis Using Search Engine Drifts for Green Marketing and Related Terms: A Geographical Analysis Based on Counties
Abstract: This exploratory study's main goal was to find out how interested Google users in India will be in green products, marketing, causes, and affiliate concepts between May 2021 and May 2022. Google Trends are being used more and more for various opinion research purposes to gauge popular sentiment. We monitor Google Trends for certain keywords that correspond to our green marketing– related characteristics. As the next step, we compare the …
Published in NOLEGEIN Journal of Global Marketing · Vol. 5, Issue 2, 2022 · pp. 19–25 Read article
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Impact of AI-Powered Chatbots on Customer Satisfaction in E-Commerce: A Secondary Data Analysis
Abstract: Today many online shopping websites use AI chatbot to talk with customers The chatbot answer fast and work all day and night 24/7. Because of this customer support becomes easy and quick. In this study we tried to see how these chatbots change customer satisfaction. For this we used old data which was already available online. In total, 45,782 customer reviews from different e-commerce platforms were used for analysis.To understand …
Published in NOLEGEIN Journal of Consumer Behavior & Market Research · Vol. 9, Issue 02, 2026 Read article
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Electric Vehicle Market Dynamics and Consumer Adoption Patterns: Evidence from Multi-Source Public Data
Abstract: The global electric vehicle (EV) market expanded at a compound annual growth rate (CAGR) of 46.5% between 2015 and 2024, reaching 17.1 million annual sales and a 57-million-vehicle on- road stock, yet the structural drivers of adoption heterogeneity remain incompletely characterised. This study integrates five open-licence public datasets—IEA Global EV Outlook 2025, Washington State DOL registration records, U.S. EPA Fuel Economy Guide, NHTSA consumer complaints, and NREL alternative fuelling station …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 9, Issue 1, 2026 Read article
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Bitcoin Price Prediction Using Machine Learning Algorithm
Abstract: Bitcoin, being one of the top cryptocurrencies, sees its price influenced by market trends and public opinions. This study introduces a prediction model that uses a Random Forest Classifier along with sentiment analysis to forecast Bitcoin prices. Data on Bitcoin’s past and current performance was gathered using the finance library, while sentiment analysis was conducted on news and comments related to Bitcoin, collected through mwclient. The model’s success was measured …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 8, Issue 1, 2025 · pp. 1–7 Read article
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A Study on the Strategic Role of Online Ratings and Reviews in E-Commerce
Abstract: Consumer trust is a fundamental determinant of purchasing behavior in the digital marketplace. This study investigates the strategic role of online ratings and reviews in fostering trust among e-commerce consumers. By examining key factors such as review authenticity, sentiment trends, and platform credibility, the research explores how online feedback influences trust formation and purchase intent. Using a mixed-method approach, including surveys, other researcher opinion results highlight that transparent review processes, …
Published in NOLEGEIN Journal of Consumer Behavior & Market Research · Vol. 8, Issue 2, 2025 · pp. 1–7 Read article
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Digital Approach to the Cost Management of Construction Works: Exploring Key Areas for Operations Improvement
Abstract: Digital approaches to construction cost management use digital technology to analyze project data and improve operations, cost predictions, identify cost drivers, set budgets, and reduce the risk of going over budget. However, empirical evidence indicates that the software and hardware requirements in performing cost estimation vary. These requirements vary depending on the technological advancement, the client and/or market demand, and the users’ needs, amongst other factors. There is thus scope …
Published in NOLEGEIN Journal of Operations Research & Management · Vol. 8, Issue 1, 2025 · pp. 21–32 Read article
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Artificial Intelligence in Retail Customer Engagement: A Systematic Review ofTools, Strategies, and Consumer Impact
Abstract: Retail customer engagement has broadened far and wide thanks to the swift adoption of Artificial Intelligence (referred henceforth as AI) technologies; making it possible for businesses to create a lot more personalized, efficient, and interactive consumer experience. In this paper, a systematic review of recent research on AI in retail settings was conducted based on the implementation and application of AI tools in consumer-retailer interface areas, as well as their …
Published in NOLEGEIN Journal of Consumer Behavior & Market Research · Vol. 9, Issue 02, 2026 Read article
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A Comparative Analysis of Dividend Policy on Selected Pharmaceuticals Industrial Units of India
Abstract: The distribution of earnings (past or present) among the company's shareholders in accordance with their percentage of ownership is known as a dividend. A company's dividend policy outlines how profits are allocated to shareholders. A financial decision decides how much of the profits will be paid out as dividends to the shareholders. Research on dividends has questioned how much investors value consistent dividend payments in comparison to the capital that …
Published in NOLEGEIN Journal of Business Risk Management · Vol. 7, Issue 1, 2024 · pp. 1–6 Read article
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Role of derivatives (Future & Options) in the Indian stock market
Abstract: Abstract Volatility in the financial market is inevitable. Due to this volatility risk factor came into existence. In today’s era business faces two types of risk such as Unsystematic and Systematic risk. Volatility in the market comes under systematic risk which can be evaluated with the help of standard deviation. Increase or decrease in volatility in future depends upon market sentiments, emotions and other fundamental concepts of stocks in the …
Published in NOLEGEIN Journal of Entrepreneurship Planning, Development and Management · Vol. 1, Issue 1, 2018 · pp. 11–15 Read article
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Enhancing Fairness and Transparency in Deep Learning- Based Stock Market Forecasting
Abstract: Over the past few years, Deep Learning Models have gained prominence as a very effective means of predicting future financial markets because these types of models are capable of identifying and modelling complex non-linear data relationships that may otherwise be missed by human analysts. By analyzing huge amounts (millions of observations) of historic data about the market, the technical indicators and sentiment derived from news articles, social media or analyst …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 9, Issue 1, 2026 Read article
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The Accuracy Paradox in AI Equity Markets: A Regime-AwareTrading Strategy using XGBoost and Walk-Forward Optimization
Abstract: This study investigates the “Accuracy Paradox” in algorithmic equity trading by examining whether a machine learning model with near-random directional prediction accuracy can still generate profitable trading outcomes when combined with effective risk- management and market-regime rules. An XGBoost classifier was developed and evaluated using approximately six years of daily market data from five major technology stocks—NVIDIA, Apple, Microsoft, Alphabet, and Meta—covering the period from January 2020 to February 2026. …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 9, Issue 2, 2026 Read article
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A Comparative Performance Analysis of Machine Learning Models for Predicting Technology Sector Stock Returns Using Global Macroeconomic Indicators
Abstract: The financial markets do not depend on a single factor but are the result of interaction of macroeconomic, investor sentiment, and efficient company-specific factors. It is also difficult to predict the stock market especially in the technology industry because they are nonlinear and highly dynamic. The past few years have seen machine learning methods become effective tools in the analysis of financial data and the identification of implicit relationships that …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 9, Issue 2, 2026 Read article
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Media and Technology in MBA and Engineering Education System: Its Impact
Abstract: Media and technology have had a significant impact on MBA and engineering education systems in recent years. Media, in common, can be depicted in basic terms, like a motion picture was great, the book was pitiful, or the Web is instructive, and how did we ever live without it! The availability of online learning platforms has made it possible for MBA and engineering students to access high-quality educational content from …
Published in NOLEGEIN Journal of Information Technology & Management · Vol. 5, Issue 2, 2022 · pp. 11–21 Read article
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AI-Powered Talent Intelligence and Leadership: Empirical Insights from Smart Enterprises
Abstract: This empirical study explores the transformative role of AI-powered talent intelligence in shaping leadership effectiveness within smart enterprises. As organizations increasingly adopt advanced artificial intelligence tools – including cognitive, generative, and sentient AI – leaders are empowered to make data-driven, predictive, and adaptive decisions that directly influence workforce performance, engagement, and organizational agility. The study investigates how AI-enabled insights into employee skills, performance trends, and sentiment data inform leadership practices, …
Published in NOLEGEIN Journal of Organizational Behavior Management · Vol. 9, Issue 1, 2026 · pp. 28–37 Read article