• Developed a system that produces review summaries of various features of an online product and assigns a sentiment score to each feature summary. • Built a feature extractor model that learns the salient features, vital to potential buyers of the product, from the reviews using deep LSTM architectures employed using Keras. • Implemented Summarisation Algorithm using Integer Linear Programming approach for determining suitable text to be presented as a summary. • Presented a thesis based on this research as part of final year project in VJTI and earned 10/10 grade. • Co-authored and published a paper ‘Opsum: Topic Based Opinion Summarization and Sentiment Analysis’ in International Journal of Engineering Research and Applications. ISSN: 2248-9622 Vol. 8, Issue 9 (Part -III) Sep 2018.