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156 articles for “text analysis”
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Text Analysis in Health Care Study Using IoT
Abstract: The Internet of Things (IoT) should be a recent buzzword that has steadily acquired acceptance (IoT). Organizations, governments, and the scientific community have already acknowledged the significance of the Internet of Things as a result of a surge in publications over the past few years. Despite scant research on goals and potential breakthroughs, IoT in health had a significant role in this development. In this study, the only method used …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 11–18 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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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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Nail Image Processing for Early Symptom Detection of Diseases based on Supervised Learning
Abstract: Digital Image Processing of human nail can be used for the prediction of various systemic and dermatological diseases. The proposed system – Nail Image Processing System using SVM (NIPS-S) helps us to create a model for the analysis of human nail and predict various diseases. The input to the proposed system is the Human Palm Image. The nail portion is segmented and a combination of nail color, shape and texture …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 49–61 Read article
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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
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Punjabi Text Sentiment Analysis Using Indic NLP
Abstract: Sentiment Analysis has become one of the challenging domains with the gaining popularity of Internet and social media platforms. Sentiment or opinion mining means to know people’s opinion, attitude, views and emotions towards anything. Sentiment analysis in English language has already been analyzing but there is a need of analyzing sentiments in other regional language in which Punjabi language is one of them. Users from the Punjab state of India …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 38–42 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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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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Revolutionizing Document Analysis Using AI Based Text Extraction Methods
Abstract: The AI Document Analyzer is an innovative application created to revolutionize how we engage with and comprehend textual data. By integrating a range of advanced technologies, including Next.js, Drizzle ORM, OpenAI, Stripe, TypeScript, and Tailwind, this tool offers a comprehensive solution for document comprehension. Central to its functionality is a chat-based interface powered by the ChatGPT API, allowing users to engage in natural language conversations with their uploaded documents. This …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 40–46 Read article
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Optimization of Response Parameter on Textile Machine Using Grey Relation Analysis
Abstract: Optimization is the one of the techniques used in manufacturing industry to achieve the best output condition, which is necessary for industry production at high quality in the minimum input cost. In this paper, we find out the optimal value towards the best production quality. There are many optimization techniques and one of them is Taguchi-based grey relation analysis method. In this experiment, the method is applied on L27 orthogonal …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 3, 2014 · pp. 1–10 Read article
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AI-Powered Chatbot with Sentiment Analysis, Summarization, and Q&A for Business Automation
Abstract: Artificial Intelligence (AI) chatbots have become increasingly significant in recent years due to their ability to automate a wide range of business operations, improve user interaction, and create more efficient customer support experiences. The development of such systems goes beyond simple rule-based responses and now integrates advanced natural language processing (NLP) techniques to deliver contextually relevant and human-like interactions. This study introduces a chatbot framework that incorporates three major components: …
Published in Journal of Open Source Developments · Vol. 12, Issue 3, 2025 · pp. 01–05 Read article
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Texture Study on 316L Weldments after Heat Treatments
Abstract: AbstractAustenitic stainless steels are regularly used as components in many parts and vessels work in the ocean. Also, 316L stainless steel (SS) is used in nuclear reactors, located near sea. 316L SS base metal (BM) and weld metal (WM) are aged at 450°C and at 350°C for 6000 hours and texture analysis using electron backscatter diffraction (EBSD) revealed that the texture is independent of delta-ferrite content. Inverse Pole Figures (IPF) …
Published in Journal of Thermal Engineering and Applications · Vol. 5, Issue 3, 2018 · pp. 1–10 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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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
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Sacred Ecology and Traditional Water Conservation Practices in Srimad Bhagavata Mahapurana
Abstract: This study explores the Indigenous Knowledge Systems (IKS) embedded within Srimad Bhagavata Mahapurana, specifically focusing on environmental wisdom and traditional water conservation practices. Through qualitative textual analysis and hermeneutic interpretation, this research examines how ancient Hindu scriptures provide comprehensive ecological frameworks that remain relevant for contemporary environmental challenges. The study reveals sophisticated understanding of water conservation, biodiversity protection, and sustainable living practices encoded within religious narratives. Key findings demonstrate that …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 · pp. 113–119 Read article
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Image-Based Evaluation of Implant Tissue Interface Integrity in Polymer Orthopaedic Devices
Abstract: Polymer orthopedic implants offer radiolucency and mechanical compatibility with bone, but long-term success depends on maintaining a stable implant–tissue interface. Routine imaging is widely available for follow-up, yet interface integrity is commonly judged qualitatively, limiting early detection of fixation compromise and reducing comparability across devices and time points. This work presents an image-based methodology to quantify interface integrity by extracting interpretable interface descriptors from a standardized interface belt around the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 170–179 Read article
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Comparative Analysis of a Lie Detector using Support Vector Machine, Naive Bayes, and Random Forest Algorithm with Speech to Text Conversion
Abstract: Lie detection, additionally known as deception detection, uses questioning techniques to determine truth and falsehood in response. Physiological responses like vital sign, blood pressure, heartbeat, and respiratory rate are used to discriminate between truth and lie. Once we lie, our blood pressure goes up, our heart beats quicker, we have a tendency to breathe faster (and our breathing slows once the lie has been told), and changes occur in our …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 13–18 Read article
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Development and Assessment of a Nutraceutical Herbal Soft Drink
Abstract: The objective of this research was to develop and assess a nutraceutical herbal soft drink as a healthier alternative to conventional soft drinks, which have been scrutinized for their potential health risks due to high consumption rates. With an increasing number of individuals looking for healthier drink options, this study introduced a soft drink crafted from traditional herbs known for their nutritional benefits. The primary ingredients chosen for this soft …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 37–43 Read article