Hello, I’m Kavita Ganesan!
I’m a consultant, educator and founder of Opinosis Analytics.
I use my blog as a platform to teach and share ideas with technical and non-technical leaders and practitioners.
My AI journey started in 2005. Since then I’ve done research, built AI products, and more recently led and scaled multiple successful AI initiatives for companies like 3M and Microsoft.
I received my Ph.D. in computer science in the area of Machine Learning, Natural Language Processing, and Search from the University of Illinois at Urbana-Champaign. I also received a Masters degree in computer science from the University of Southern California.
I’ve authored over ten first author papers at top tier data mining and NLP publications such as WWW, COLING, NAACL, IEEE Big Data, and Information Retrieval Journal. I’m also an inventor on several AI patents. My thesis was related to sentiment analysis and summarization.
Explore the links below to learn more about me and my work. To get in touch with me, feel free to contact me.
- Intelligent Automation Week (2020)
- ReWork Applied AI Summit (2020)
- Tech Talk @ SLC Data Science (2019)
- AI Panel @ Activate (2018)
- Tech Talk @ Activate (2018)
Below are articles that cover some of my work and opinions on various topics:
- Lucidworks – Why Adoption of AI is Slow?
- GoSkills – What is Big Data?
- SD Times – Topic Extraction
- University Herald – GitHub Topics
- Venture Beat – GitHub Topics
- The New Stack – Lang Detection
- Neo4J on Graph Databases
- Max De Marzi on Opinosis Summarization
- Dzone on Opinosis
- KDNuggets on FindiLike
- Techopedia – Optimizing data science processes
Stuff I’ve Built…From Scratch
- Sentiment Analysis & Text Summarization used by organizations like Flipkart
- Repo-topics recommendations for GitHub
- Clinical text parser for 3M Health
- Programming language detection for GitHub
- Large-scale phrase extractor for general use
- Tool for evaluating text summarization systems for general use
- A popular sentence clustering API for general use
- How Not Having a Big Data Strategy can Kill AI
- All About Text Preprocessing
- Coding Language Detection with Artificial Neural Networks