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AI Strategies & The Business Case For AI
Machine Learning & NLP Development
One of the questions that often comes up is what’s…
Word2Vec is a widely used word representation technique that uses…
Previously, we learned how to use CountVectorizer for text processing….
Scikit-learn’s CountVectorizer is used to transform a corpora of text…
Text classification is the automatic process of predicting one or…
Kavita Ganesan is an AI practitioner, advisor, educator, and founder of Opinosis Analytics. She advises senior management and technology teams across the enterprise to help them successfully integrate AI for meaningful business outcomes.
With over 15 years of experience, Kavita has managed, 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 degrees from prestigious computer science programs, specifically a Masters degree from the University of Southern California and a Ph.D. from the University of Illinois at Urbana Champaign, with a specialization in NLP, Machine Learning, and Information Retrieval (Search).
Kavita has been featured as an expert by numerous media outlets, including Forbes, CEOWorld, CMSWire, Verizon, SDTimes, Techopedia, and Ted Magazine. To learn more about her frameworks and ideas, get her AI book for business leaders.
This paper presents a new unsupervised approach to generating ultra-concise summaries of opinions. We formulate the problem of generating such a micropinion summary as an optimization problem, where we seek…