Text classification & Summarization

o    NLP based product for summarizing and extracting entities like company name, location, date, from news articles. It also involves classification of the news if it is Mergers, acquisitions, etc., using BiDirectional LSTM model and Word2vec. A product was built around it with an application to bring human in the loop. The entities are aggregated to give a analytics platform for users to view links between different industry sector where investment in technology is being done (using M&A news and Industry classification)

o    extracting information from Linkedin and other sites that has company profile including senior management, etc., to correlate potential cross company recruitment across organizations