Sumesh Sood

@hpuniv.ac.in

Associate Professor, Department of Computer Science
Himachal Pradesh University Shimla

Sumesh Sood


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https://researchid.co/sumesh64

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Multidisciplinary
3

Scopus Publications

181

Scholar Citations

7

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Web effort estimation techniques: A systematic literature review
    Compusoft, 2019
  • Sentiment analysis of stock blog network communities for prediction of stock price trends
    Sandeep Ranjan, Inderpal Singh, Sonu Dua, Sumesh Sood
    Indian Journal of Finance, 2018
    It has been a challenge to develop a successful model for accurate stock price trend prediction. This paper aimed to develop an accurate model based on semantic analysis of social network communities for predicting stock day end closing prices using the wisdom of crowds ; www.mmb.moneycontrol.com, a financial blog covers all the companies listed on the National Stock Exchange of India. Influential and accurate opinions expressed in the blogs lead to community formation. The study focused on detection of such communities using betweenness centrality measure and performed a semantic analysis of their content to develop a prediction model based on correlation between blog sentiments and stock day end closing prices for predicting the stock trends. Thirty nine Indian banks were selected for the study during the period from October 1, 2017 to December 31, 2017 and the experimental results of the number of correct predictions of upside and downside movement of day end stock price were validated against the actual values. The model achieved a prediction accuracy of 84% and correlation of the model was within the significant limits of Z - test and Pearson's coefficient of 0.8.
  • Twitter Sentiment Analysis of Real-Time Customer Experience Feedback for Predicting Growth of Indian Telecom Companies
    Sandeep Ranjan, Sumesh Sood, Vikas Verma
    Proceedings 4th International Conference on Computing Sciences Iccs 2018, 2018
    Corporations have always desired prompt customer experience feedback about their products for amending current pricing and policies to stay ahead of their competitors. A positive customer experience can be created by analyzing customer sentiments and acting on them promptly. Social networks like Twitter represent collective intelligence and opinion of the general public and hence can be harnessed for real-time feedback. They have evolved as a resource for extracting sentiments for applications in various fields. Sentiment analysis can be used to obtain the overall customer experience of a large customer base on a real time. In this research, a total of 153,651 distinct tweets for Twitter handle of 5 popular telecom brands in India: Aircel, Bharti Airtel, Idea Cellular, Reliance Jio and Vodafone India were extracted for five months to develop a prediction model for telecom subscriber addition using the sentiment score. The results were validated statistically using correlation analysis. Positive customer sentiments about the brand which they prefer is reflected by higher growth rate of new subscribers added with that brand in the study period. The sentiment analysis results can be used by managements to take timely actions for improving the future customer experience and avoiding customer churn.

RECENT SCHOLAR PUBLICATIONS

  • A Hybrid CNN–LSTM Approach for Predicting Software Vulnerability Exploitability
    S Saklani, A Kalia, S Sood
    Indian Journal of Science and Technology 19 (12), 820-829 , 2026
    2026
  • Blockchain and E-Voting Systems: A Review of Progress and Research Opportunities
    B N K, S S
    International Journal of Scientific Research & Engineering Trends 11 (1 … , 2025
    2025
  • A Comprehensive Literature Review on Blockchain-Based Systems: Opportunities and Challenges
    B N K, S S
    International Research Journal of Modernization in Engineering Technology … , 2025
    2025
  • Integration of AI and Machine Learning in Cyber Forensics: Enhancing Digital Investigations and Threat Detection
    A S, S S
    Shodh Chetana 4 (1), 142-148 , 2025
    2025
  • Deepfake Detection Methods in Multimedia Forensics: A Comprehensive Review
    A S, S S, K K, M P V
    International Research Journal of Modernization in Engineering Technology … , 2025
    2025
  • Evaluating Machine Learning Approaches for Detecting Fake News on Social Media
    J Negi, S Sood
    2024
    Citations: 1
  • Twitter Sentiments and Opinions Analysis of COVID-19 Vaccine Regarding Effectiveness of Vaccine
    K Kumari, S Sood, A Kalia, S Saklani, J Negi
    Indian Journal of Science and Technology 17 (11), 1051-1058 , 2024
    2024
    Citations: 5
  • Exploring Public Sentiments on COVID-19 Vaccines for Children through Twitter Data: A Sentiment Analysis
    K K, S S
    Proceding of International Multi-Track Conference on Sciences, Engineering … , 2024
    2024
  • Advancements in Video Captioning: A Comprehensive Review of Deep Learning Techniques, Architectures, and Pre-Processing Strategies
    S Y, S S, K A
    International Research Journal of Modernization in Engineering Technology … , 2024
    2024
  • Enhancing Web Performance through Critical Path Rendering Optimization: A Comprehensive Study
    Sahil, K A, S S
    Journal of Management and Entrepreneurship 18 (1), 614- 625 , 2024
    2024
  • YOLOV8: An Enhanced Object Detection Model for Distance Estimation
    V U, K A, S S
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024
  • An Analysis of Drone Routing Algorithms: Approaches, Capabilities and Future Directions
    K M, K A, S S
    International Journal of Scientific Research & Engineering Trends 10 (3 … , 2024
    2024
  • A Comparative Analysis of Deep Learning Based Object Detection Models
    V U, K A, S S
    International Journal of Scientific Research & Engineering Trends 10 (3 … , 2024
    2024
  • AI in Mental Health: A Comprehensive Review, Comparative analysis, and Ethical Considerations for Advancing Assessment and Treatment
    P H, S S, K A
    International Research Journal of Modernization in Engineering Technology … , 2024
    2024
  • Innovations in Global Business Sectors
    S Sood
    2023
  • Measuring Software Reengineering: A Framework Based on Metric Set
    S Sood
    2023
  • ESSENTIALS OF COMPUTING: A Comprehensive Guide to Computer Fundamentals
    S Sood
    2023
  • Exploring the Effectiveness of Sentiment Analysis Techniques: A Comprehensive Study
    K K, S S
    Innovations in Global Business Sectors, 17-25 , 2023
    2023
  • Review: Machine learning and Deep learning Algorithms
    N J, S S
    Innovations in Global Business Sectors, 9-16 , 2023
    2023
  • Catalysing Democracy: Exploring Security and Performance in Blockchain-Based Electronic Voting Systems and Centralized Solutions
    S S
    International Journal for Research in Applied Science & Engineering … , 2023
    2023

MOST CITED SCHOLAR PUBLICATIONS

  • Twitter sentiment analysis of real-time customer experience feedback for predicting growth of Indian telecom companies
    S Ranjan, S Sood, V Verma
    2018 4th International Conference on Computing Sciences (ICCS), 166-174 , 2018
    2018
    Citations: 56
  • Sentiment analysis of stock blog network communities for prediction of stock price trends
    S Ranjan, I Singh, S Dua, S Sood
    Indian Journal of Finance, 7-21 , 2018
    2018
    Citations: 29
  • Exploring Twitter for large data analysis
    S Ranjan, S Sood
    International Journal of Advanced Research in Computer Science and Software … , 2016
    2016
    Citations: 11
  • Analyzing social media community sentiment score for prediction of success of bollywood movies
    S Ranjan, S Sood
    International Journal of Latest Engineering and Management Research 3 (2), 80-88 , 2018
    2018
    Citations: 10
  • Cloud computing interoperability: Introduction, concerns and challenges
    S Kaur, S Sood, G Kaur
    International Journal of Advanced Research in Computer Science 8 (5), 939-943 , 2017
    2017
    Citations: 9
  • Social network investor sentiments for predicting stock price trends
    S Ranjan, S Sood
    Int. J. Sci. Res. Rev 7 (2), 90-97 , 2019
    2019
    Citations: 7
  • Investor community sentiment analysis for predicting stock price trends
    S Ranjan, S Sood
    International Journal of Management, Technology and Engineering 9 (5), 6012-6020 , 2019
    2019
    Citations: 7
  • Twitter Sentiments and Opinions Analysis of COVID-19 Vaccine Regarding Effectiveness of Vaccine
    K Kumari, S Sood, A Kalia, S Saklani, J Negi
    Indian Journal of Science and Technology 17 (11), 1051-1058 , 2024
    2024
    Citations: 5
  • SOFTWARE QUALITY PREDICTION USING MACHINE LEARNING TECHNIQUES AND SOURCE CODE METRICS: A REVIEW.
    S Saklani, A Kalia, S Sood, K Kumari
    International Journal of Advanced Research in Computer Science 13 (6), 12-25 , 2022
    2022
    Citations: 5
  • Sentiment analysis based telecom churn prediction
    S Ranjan, S Sood
    J. Web Eng. Technol 7 (1), 6-12 , 2020
    2020
    Citations: 5
  • Characterization of Reusable Software Components for Better Reuse
    A Kalia, S Sood
    International Journal of Research in Engineering and Technology 3 (5), 584-588 , 2014
    2014
    Citations: 4
  • Concerns in Maintaining Reusable Software Components and the Possible Solutions
    A Kalia, S Sood
    Indian Journal of Science and Technology 10 (23), 1-4 , 2017
    2017
    Citations: 3
  • A Metrics Based Framework to Improve Maintainability of Reusable Software Components through Versioning
    A Kalia, S Sood
    International Journal of Advanced Research in Computer Science 8 (3), 91-96 , 2017
    2017
    Citations: 3
  • Identifying network communities in Bollywood Tweet dataset
    S Ranjan, S Sood
    International Journal of Advance Research in Science and Engineering 6 (1 … , 2017
    2017
    Citations: 3
  • Software reengineering - a metric set based approach
    S Sood
    Shimla , 2012
    2012
    Citations: 3
  • Twitter sentiment analysis for real-time customer experience feedback in Indian telecommunication sector
    S Ranjan, S Sood
    Signals and Telecommunication Journal 9 (1), 1-8 , 2020
    2020
    Citations: 2
  • Web effort estimation techniques: A systematic literature review
    M Kaur, S Sood
    Compusoft 8 (11), 3462-3471 , 2019
    2019
    Citations: 2
  • Twitter Sentiment Analysis of Indian Telecom Companies for subscriber churn prediction
    S Ranjan, S Sood
    4th International Multi-Track Conference on Sciences, Engineering … , 2018
    2018
    Citations: 2
  • FRAMEWORK FOR CERTIFICATION OF REUSABLE SOFTWARE COMPONENTS
    A Kalia, S Sood
    International Journal of Advanced Research in Computer Science 8 (8), 153-156 , 2017
    2017
    Citations: 2
  • Online Word of Mouth Communication in Bollywood Tweet Dataset
    S Ranjan, S Sood
    International Journal for Research in Applied Science & Engineering … , 2017
    2017
    Citations: 2