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156 articles for “text analysis”
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Enhancing Interview Preparedness: Development of A Comprehensive AI-Driven Mock Interview System
Abstract: In the contemporary era of virtual interviews, the need for a comprehensive system to prepare users for online interviews is imperative. Mock interviews serve as invaluable tools for enhancing confidence and communication skills, ultimately improving performance. This paper introduces a groundbreaking AI-Driven Mock Interview System (MIS) fortified with cutting-edge Natural Language Processing (NLP) methodologies, specifically targeting syntax and semantic analysis. The MIS integrates a robust JSON-based question- answer repository spanning …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 19–25 Read article
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Image Preprocessing and Analysis on Eye Fundus Images Segmentation by Using Density Clustering Methods
Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, so …
Published in Recent Trends in Sensor Research & Technology Read article
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Image Preprocessing And Analysis On Eye Fundus Images Segmentation By Using Density Clustering Methods
Abstract: Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 11–18 Read article
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River Water and Soil Analysis in Noyyal River, Tirupur
Abstract: Tirupur is famous for its textile industries. Because of this, the rate of water pollution is also very high. The generation of waste water from the industries is the main reason for the waste water problems to the environment. Some industries are not adopting any proper treatment methods to avoid this pollution, because of the high treatment cost. Without giving proper treatment the waste water is dumping in to the …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 1, 2014 · pp. 20–23 Read article
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Rapid Review Of Health Politics In Globalized World. A Swoc Analysis
Abstract: Public health is politics, as stated in the oxford textbook of public health. Political interventions can improve social determinants, which depend on political action or, more frequently, inaction. The proportion of Gross National Product (GNP) spent on health sector is considered as a quantitative indicator of political commitment of that country. Many major issues that dominate political life, such as housing, socioeconomic status, and employment, play a vital role in …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 1, 2024 · pp. 1–6 Read article
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Searching Substring in O(n) Time Complexity
Abstract: This research paper presents a highly efficient algorithm for substring search within a given string, achieving a remarkable time complexity of O(n). The proposed algorithm utilizes a two-pointer approach to compare the given string with the targeted substring. By employing string concatenation, the algorithm dynamically constructs a resultant substring during the matching process. Upon completion of character matching, the algorithm compares the resultant substring with the targeted substring and returns …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 9–15 Read article
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ML Model Comparison for Sentiment Analysis Across Diverse Datasets
Abstract: Analyzing sentiment is crucial for understanding public opinion on various issues in marketing, politics, and social sciences. This study compares the performance of seven different machine learning algorithms for sentiment classification, focusing on their effectiveness, accuracy, and complexity. The research is conducted on a pre-processed dataset with balanced text samples, utilizing feature extraction methods such as Term Frequency-Inverse Document Frequency (TF-IDF). The performance assessment criteria consist of accuracy, precision, recall, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 26–33 Read article
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Analysis of Natural Pigments and its Application on Various Fields towards the Eco-Friendly Environment
Abstract: The pigments that are found naturally in the environment are most likely to be said as "earth colour" or "earth pigment". The traditional pigments are observed to have all the substances that are available on the natural environment and are of more economic values. The pigments as a natural dye are observed to be safe, highly efficient and eco- friendly. These organic colorants are observed to contain oxygen, carbon with …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 9, Issue 3, 2019 · pp. 9–19 Read article
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Petrographic and Geochemical Characteristics of Deccan Trap Basalts from Belagavi, Karnataka, India
Abstract: The Deccan Trap volcanic province represents one of the largest continental flood basalt provinces in the world and provides significant insights into magma generation and evolution processes. The present study focuses on the petrography and geochemistry of basalts from the Belagavi region, which forms part of the southern extension of the Deccan volcanic province. Petrographic analysis of thin sections reveals that the basalts are mainly composed of plagioclase feldspar and …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 52–61 Read article
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Sustainable Production of Halal Butter from Mango Kernel Oil: Extraction, Characterization and Functional Evaluation
Abstract: Mango kernel oil (MKO) is a mango processing by-product and is increasingly of interest in food use because of its appropriate fat content. The growing demand of the halal and plant-based alternatives of butter points to the necessity of the sustainable non-dairy sources of fat. Mango kernel oil butter has good physicochemical properties such as a good balance of fatty acids, good oxidative stability, and the right level of moisture, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 12–21 Read article
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A Strategical Review on Text Summarization
Abstract: Text summarization is the important component of the document analysis. Reading the complete set of documents if the work is tedious, so that the summary presents the brief idea about the whole document. In this paper we review the concept of the automatic text summarization and the concept involved in the automatic text summarization.Cite this ArticlePankaj Kumar, Komal Sharma*. A Strategical Review on Text Summarization. Research & Reviews: A Journal …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 3, 2018 · pp. 8–12 Read article
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Design and Performance Analysis of an UWB Wearable Patch Antenna for WBAN Applications
Abstract: In this paper we represent an ultra-wide band wearable textile antenna for body area network. The proposed antenna consists of a decagonal radiating patch and a partial ground plane with a square slot. For textile antenna, the textile materials and the planer shapes provide a smooth integration into clothing while preserving the characteristic properties of the textile. The ultra-wide band for these types of antenna is achieved by optimizing the …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 3, 2017 · pp. 1–7 Read article
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The Influence of Artificial Intelligence on Literary Criticism
Abstract: Artificial Intelligence (AI) has emerged as a significant force in reshaping contemporary literary criticism. Traditionally, the interpretation of literature has relied primarily on human-centered methods such as close reading, contextual analysis, and theoretical framing. However, the integration of AI-based techniques including Natural Language Processing (NLP), Machine Learning (ML), stylometry, and sentiment analysis has introduced new possibilities for examining literary texts at both micro and macro levels. These computational approaches allow …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 22–29 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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Perception of Nursing as a Career Choice among Natural Science Preparatory School Students in Hawassa City, South Ethiopia
Abstract: Background: Nursing is a frontline of all aspects of human health and peaceful death. Studies suggest that early high school students’ perception of nursing as a career of choice directly or indirectly impacts the health industry. High school students are a pipeline for future nursing. High school students who understand nursing as a career choice in the future contribute a lot of things and retention the work area. Throughout our …
Published in Research and Reviews: A Journal of Health Professions · Vol. 7, Issue 3, 2017 · pp. 14–22 Read article
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Factors Affecting Acceptability of Ayushman Bharat Health Account (ABHA) Digital Health ID: A Multicentre Study
Abstract: Causes of refusal from the community for the Government of India to create unique health IDs, Ayushman Bharat Health Account Numbers (ABHA) ID of every citizen using digital tools needs attention to improve acceptability in the community. Approach: The Government of India has created an ABHA identity number. It will ensure intersectoral coordination among the health ecosystem of the country. Since we all avail the facility, services and interact with …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 2, 2023 · pp. 46–54 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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Comparative study of the Antibacterial Properties of Modified Textile Materials with Different Metal Nanoparticles
Abstract: A number of metal particles have proven antibacterial properties. In this study, a comparative analysis was made of two types of metal particles: zinc oxide and titanium oxide nanoparticles respectively, which were deposited on cellulose material and were fixed by means of a cross-linked gelatin hydrogel. Three methods were applied under different reaction conditions for obtaining the biocomposite materials. The biomaterials were investigated by means of scanning electron microscopy, transmittance …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 92–101 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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Time Multiplexed Binary Offset Carrier (TMBOC) Transmitter with Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR)
Abstract: This paper provides insights into Time Multiplexed Binary Offset Carrier (TMBOC), a modulation technique employed in satellite navigation systems, specifically designed for GPS L1C. TMBOC improves signal correlation properties by time-multiplexing Binary Offset Carrier (BOC) (1, 1) and (6, 1). The text discusses various TMBOC models, including spectral representations and power distributions. Performance analysis reveals the potential of TMBOC signals in achieving superior tracking accuracy and interference resistance compared to …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 34–49 Read article