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Supervised Machine Learning Method for Ontology-based Financial Decisions in the Stock Market by Neha Sharma; Mukesh Soni; Sumit Kumar; Rajeev Kumar; Nabamita Deb; Anurag Shrivastava is a Computer Science article available to read on EtoBox.

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For changing semantics, ontological and information presentation, as well as computational linguistics for Asian social networks, are one of the most essential platforms for offering enhanced and real-time data mapping, as well as huge data access across diverse big data sources on the web architecture, information extraction mining, statistical modeling and data modeling, database control, and so on. The concept of opinion or sentiment analysis is often used to predict or classify the textual data, sentiment, affect, subjectivity, and other emotional states in online text. Recognizing the message's positive and negative thoughts or opinions by examining the author's goals will aid in a better understanding of the text's content in terms of the stock market. An intelligent ontology and knowledge Asian social network solution can improve the effectiveness of a company's decision making support procedures by deriving important information about users from a wide variety of web sources. However, ontology is concerned primarily with problem-solving knowledge discovery. The utilization of Internet-based modernizations welcomed a significant effect on the Indian stock exchange. News rela

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Author

Neha Sharma; Mukesh Soni; Sumit Kumar; Rajeev Kumar; Nabamita Deb; Anurag Shrivastava

Publisher

ACM

Published

2023

Language

EN

Field

Computer Science (Physical Sciences)