Rate My Professor Shilpa Lakhanpal

Lakhanpal's academic interests and research specializations center on data mining, machine learning, artificial intelligence, and natural language processing. Her scholarly contributions include the 2023 publication "Leveraging Explainable AI to Analyze Researchers' Aspect-Based Sentiment about ChatGPT," co-authored with Ajay Gupta and Rajeev Agrawal. Earlier publications from her research at Western Michigan University feature "Discover trending domains using fusion of supervised machine learning with natural language processing" (2015), "Towards Extracting Domains from Research Publications" (2015), "On discovering most frequent research trends in a scientific discipline using a text mining technique" (2014), and "Mining Domain Similarity to Enhance Digital Indexing" (2017). At California State University, Fullerton, she actively teaches courses including CPSC 131, CPSC 351, and contributes to the program's growth by mentoring students and delivering clear instruction.