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Publications

Kavita’s select publications

Automated story capture from conversational speech

Abstract While storytelling has long been recognized as an important part of effective knowledge management in organizations, knowledge management technologies have generally not distinguished between stories and other types of discourse. …

A General Supervised Approach for Segmentation of Clinical Texts

Segmentation of clinical texts into logical groups is critical for all sorts of tasks such as medical coding for billing, auto drafting of discharge summaries, patient problem list generation, population …

Discovering Related Clinical Concepts Using Large Amounts of Clinical Notes

In this work, we explore an unsupervised graphical approach to mine related concepts by leveraging the volume within large amounts of clinical notes. Our evaluation shows that we are able …

About Kavita

Kavita Ganesan is an AI consultant, advisor, and educator, and the founder of Opinosis Analytics. She works with senior executives to develop and implement their AI strategy.

With over 15 years of experience, Kavita has scaled and delivered multiple successful AI initiatives for fortune 500 companies as well as smaller organizations. She has also helped leaders and practitioners around the world through her blog posts, coaching sessions, and open-source tools.

Kavita holds a Masters degree in computer science from the University of Southern California, and a Ph.D. in computer science from the University of Illinois at Urbana Champaign, with specialization in Applied Artificial Intelligence.

Over the years, Kavita has developed strong expertise in NLP Applications, Search Technologies, Machine Learning, and AI Product and Project Management. She has been featured in CMSWire, Verizon, SDTimes, Techopedia, and Ted Magazine. To learn more about her patents and publications, visit: bit.ly/kavita-publications

Reader’s Thoughts

“I just read your article ‘All you need to know about text preprocessing for NLP and Machine Learning’ on KDnuggets and I have to say it is one the best, most comprehensive, and well-explained articles I’ve ever encountered related to pre-processing.“

Azaf Tanveer, Data Scientist Company1

“I arrived at your profile after going through your articles. They are a treasure trove of knowledge and really help me understand many of the topics prevalent in the field and industry.“

Siddharth, Software Engineer Company1

“I recently got lucky to come across your article on AI strategy & then your series of blogs. I must admit your knowledge & skill of putting things in so easy & relative manner is outstanding & impressive.”