DemandMiner
Tirthankar Dasgupta, Lipika Dey, Abir Naskar, Rupsa Saha, Ishan Verma, S. Ramakrishnan · 2017
In this paper, we present the DemandMiner, an online tool that leverages Natural Language Processing and Machine Learning techniques to extract demand related to different industries from large volume of News articles. We also propose techniques to enrich the information components extracted from a document by associating them with their sense oriented entities. The enriched components are then analyzed for generating informed insights to generate contextual reports that can convey greater sense to the decision-makers, analysts and knowledge workers than simple display of events. An interactive visualization system is also provided for searching and querying the underlying collection of data and the derived insights.