Assistant Professor

Mr VRPS Sastry Yadavilli

Department of Computer Science and Engineering

Interests

  1. Machine Learning
  2. Natural Language Processing
  3. Deep Learning

Faculty Details

Education

2011

A.S.R. College of Engineering

B. Tech

2017

B.V.C. College of Engineering

M. Tech

2025

National Institute of Technology,
Andhra Pradesh

Ph.D.

Experience

  • August 2024- January 2025 – Assistant Professor (Adhoc)- NIT Andhra Pradesh
  • June 2018- June 2019- Assistant Professor- Sri Vasavi College of Engineering
  • May 2017- June 2018- Assistant Professor- B.V.C. College of Engineering

    • Research Interest

    • Explainable Sentiment Analysis for Product Reviews Using Causal Graph-Based Embeddings.
    • Extracting Opinion Words for Online Content Using a Word Alignment Model and Topical Word Trigger Approach.
    • Design and Development of  Frameworks for Item Rating Prediction Using Aspect-Level Sentiment Analysis.

    Awards & Fellowships

    • 2019- NET JRF- UGC

    Publications

     

    • YADAVILLI, V. S., & Seshadri, K. (2022). Explainable sentiment analysis for product reviews using causal graph embeddings. Sādhanā, 47(4), 241.
    • Yadavilli, V. S., Seshadri, K., & Bhattu, N. (2024). Joint modeling of causal phrases-sentiments-aspects using Hierarchical Pitman Yor Process. Information Processing & Management, 61(4), 103753.
    • VRPS, S. Y., & Seshadri, K. (2021, March). A Framework for predicting item ratings based on Aspect Level Sentiment Analysis. In 2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 327-332). IEEE.
    • Yadavilli, V. S., & Seshadri, K. (2021). A survey on aspect extraction approaches for sentiment analysis. In Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance (pp. 42-65). IGI Global.
    • YADAVILLI, V. S., & SATTI, S. K. (2016). Extracting Opinion Words Based On the Word Alignment Model for Online using Topical Word Trigger Model.

    Contact Details

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