Text Mining and Natural Language Processing: Investigating text mining and natural language processing techniques for extracting insights from unstructured text data
Keywords:
Topic modeling, Unstructured text dataAbstract
Text mining and natural language processing (NLP) have become integral tools for extracting valuable insights from unstructured text data. This paper provides an overview of the key techniques and applications of text mining and NLP in various domains. We discuss the challenges involved in processing unstructured text data and highlight the importance of these techniques in transforming raw text into structured and actionable information. Furthermore, we explore the advancements in machine learning and deep learning models that have significantly improved the accuracy and efficiency of text mining and NLP tasks. Through case studies and examples, we demonstrate the practical implications of text mining and NLP in areas such as sentiment analysis, topic modeling, and information retrieval. Finally, we discuss future research directions and the potential impact of text mining and NLP on various industries.
Downloads
References
Vemoori, Vamsi. "Transformative Impact of Advanced Driver-Assistance Systems (ADAS) on Modern Mobility: Leveraging Sensor Fusion for Enhanced Perception, Decision-Making, and Cybersecurity in Autonomous Vehicles." Journal of AI-Assisted Scientific Discovery 3.2 (2023): 17-61.
Ponnusamy, Sivakumar, and Dinesh Eswararaj. "Navigating the Modernization of Legacy Applications and Data: Effective Strategies and Best Practices." Asian Journal of Research in Computer Science 16.4 (2023): 239-256.
Pulimamidi, Rahul. "Emerging Technological Trends for Enhancing Healthcare Access in Remote Areas." Journal of Science & Technology 2.4 (2021): 53-62.
Tillu, Ravish, Muthukrishnan Muthusubramanian, and Vathsala Periyasamy. "From Data to Compliance: The Role of AI/ML in Optimizing Regulatory Reporting Processes." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 381-391.
K. Joel Prabhod, “ASSESSING THE ROLE OF MACHINE LEARNING AND COMPUTER VISION IN IMAGE PROCESSING,” International Journal of Innovative Research in Technology, vol. 8, no. 3, pp. 195–199, Aug. 2021, [Online]. Available: https://ijirt.org/Article?manuscript=152346
Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.
Pelluru, Karthik. "Enhancing Network Security: Machine Learning Approaches for Intrusion Detection." MZ Computing Journal 4.2 (2023).
Perumalsamy, Jegatheeswari, Bhavani Krothapalli, and Chandrashekar Althati. "Machine Learning Algorithms for Customer Segmentation and Personalized Marketing in Life Insurance: A Comprehensive Analysis." Journal of Artificial Intelligence Research 2.2 (2022): 83-123.
Venkatasubbu, Selvakumar, Subhan Baba Mohammed, and Monish Katari. "AI-Driven Storage Optimization in Embedded Systems: Techniques, Models, and Real-World Applications." Journal of Science & Technology 4.2 (2023): 25-64.
Devan, Munivel, Bhavani Krothapalli, and Lavanya Shanmugam. "Advanced Machine Learning Algorithms for Real-Time Fraud Detection in Investment Banking: A Comprehensive Framework." Cybersecurity and Network Defense Research 3.1 (2023): 57-94.
Althati, Chandrashekar, Bhavani Krothapalli, and Bhargav Kumar Konidena. "Machine Learning Solutions for Data Migration to Cloud: Addressing Complexity, Security, and Performance." Australian Journal of Machine Learning Research & Applications 1.2 (2021): 38-79.
Pakalapati, Naveen, Bhargav Kumar Konidena, and Ikram Ahamed Mohamed. "Unlocking the Power of AI/ML in DevSecOps: Strategies and Best Practices." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.2 (2023): 176-188.
Katari, Monish, Musarath Jahan Karamthulla, and Munivel Devan. "Enhancing Data Security in Autonomous Vehicle Communication Networks." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 496-521.
Krishnamoorthy, Gowrisankar, and Sai Mani Krishna Sistla. "Exploring Machine Learning Intrusion Detection: Addressing Security and Privacy Challenges in IoT-A Comprehensive Review." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.2 (2023): 114-125.
Reddy, Sai Ganesh, et al. "Harnessing the Power of Generative Artificial Intelligence for Dynamic Content Personalization in Customer Relationship Management Systems: A Data-Driven Framework for Optimizing Customer Engagement and Experience." Journal of AI-Assisted Scientific Discovery 3.2 (2023): 379-395.
Prabhod, Kummaragunta Joel. "Advanced Machine Learning Techniques for Predictive Maintenance in Industrial IoT: Integrating Generative AI and Deep Learning for Real-Time Monitoring." Journal of AI-Assisted Scientific Discovery 1.1 (2021): 1-29.
Tembhekar, Prachi, Lavanya Shanmugam, and Munivel Devan. "Implementing Serverless Architecture: Discuss the practical aspects and challenges." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 560-580.
Devan, Munivel, Kumaran Thirunavukkarasu, and Lavanya Shanmugam. "Algorithmic Trading Strategies: Real-Time Data Analytics with Machine Learning." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 522-546.
Tatineni, Sumanth, and Karthik Allam. "Implementing AI-Enhanced Continuous Testing in DevOps Pipelines: Strategies for Automated Test Generation, Execution, and Analysis." Blockchain Technology and Distributed Systems 2.1 (2022): 46-81.
Sadhu, Ashok Kumar Reddy, and Amith Kumar Reddy. "A Comparative Analysis of Lightweight Cryptographic Protocols for Enhanced Communication Security in Resource-Constrained Internet of Things (IoT) Environments." African Journal of Artificial Intelligence and Sustainable Development 2.2 (2022): 121-142.
Makka, Arpan Khoresh Amit. “Integrating SAP Basis and Security: Enhancing Data Privacy and Communications Network Security”. Asian Journal of Multidisciplinary Research & Review, vol. 1, no. 2, Nov. 2020, pp. 131-69, https://ajmrr.org/journal/article/view/187.
