“Can Machines Learn to Feel?” by Harikrishnan NB
Alan Turing in his 1950 paper titled “ Computing machinery and intelligence” asked a fundamental question – “Can Machines Think?” This question led to the now famous ‘Turing Test’ and revolutionized the field of Artificial Intelligence (AI). AI researchers have since been developing algorithms that can learn from experience (data) and mimic human intelligence. In this talk we shall attempt to ask the question – “Can Machines Learn to Feel?” To model ‘Feeling’ is very challenging as it involves understanding natural language and the sentiments behind language. In this talk we will discuss an upcoming field of research in AI known as Sentiment Analysis and its importance in building machines that can feel.
We begin by exploring how computers interpret data which can be images, texts, speech, video etc. Following that we will discuss sentiment analysis which is the automated process of understanding the opinion of a given subject from written or spoken language and culminate with an application of sentiment analysis- detecting whether a given sentence is positive or negative.
Agarwal, A., Xie, B., Vovsha, I., Rambow, O., & Passonneau, R. (2011, June). Sentiment analysis of twitter data. In Proceedings of the workshop on languages in social media(pp. 30-38). Association for Computational Linguistics.
Abstract Excerpt from “The Reading Glass” fortnightly session of CSP on 18 Dec 2018, by Harikrishnan NB