Hello! Text Analytics and Natural Language Processing are rapidly growing fields in computer science and information technology. Since it is such a vibrant field, diverse lenses can be applied to them for study: research, teaching, software development, business, tools and resources, apps and applications. It's a lot of fun!
In this blog, I will cover information such as introductions to different aspects of the field, practical know-how of all kinds (ranging from how to study, applying for jobs, writing NLP papers etc.), and point you to interesting papers, applications, and discussions.
Additionally, the blog will have an India focus, since India is one of the leading centres of Text Analytics in many ways, given the sheer number of researchers & developers working in it, in what is still a niche area. There seem to be few resources that give a clear picture of what's happening in India in Text Analytics and related fields.
About the blogger
J. Ramanand studied computer science and engineering at COEP (Pune) and IIT Bombay (Mumbai). His first exposure to NLP came in 2004 during a course that he took while still working. Between 2006-2007, as a post-graduate student, he worked with Prof. Pushpak Bhattacharyya on research problems involving the world of wordnets.
Between 2007-2011, he worked at Cognizant Technology Systems as an applied researcher in areas such as sentiment analysis and information extractions in an innovation group. From 2011-2013, he worked at IBM's CIO Lab on an internal application that used the IBM Watson's DEEP QA system.
Since 2014, he co-runs Choose To Thinq, which applies the power of questions and quizzing to corporate learning, engagement, and innovation, and also works with schools and colleges in building and celebrating a "THINQ" mindset.
His current research interests are in natural language generation.
In this blog, I will cover information such as introductions to different aspects of the field, practical know-how of all kinds (ranging from how to study, applying for jobs, writing NLP papers etc.), and point you to interesting papers, applications, and discussions.
Additionally, the blog will have an India focus, since India is one of the leading centres of Text Analytics in many ways, given the sheer number of researchers & developers working in it, in what is still a niche area. There seem to be few resources that give a clear picture of what's happening in India in Text Analytics and related fields.
About the blogger
J. Ramanand studied computer science and engineering at COEP (Pune) and IIT Bombay (Mumbai). His first exposure to NLP came in 2004 during a course that he took while still working. Between 2006-2007, as a post-graduate student, he worked with Prof. Pushpak Bhattacharyya on research problems involving the world of wordnets.
Between 2007-2011, he worked at Cognizant Technology Systems as an applied researcher in areas such as sentiment analysis and information extractions in an innovation group. From 2011-2013, he worked at IBM's CIO Lab on an internal application that used the IBM Watson's DEEP QA system.
Since 2014, he co-runs Choose To Thinq, which applies the power of questions and quizzing to corporate learning, engagement, and innovation, and also works with schools and colleges in building and celebrating a "THINQ" mindset.
His current research interests are in natural language generation.
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