Suggestion Mining from Customer Reviews

The increasing online content has influenced users’ buying behavior. It has triggered a paradigm shift in marketing strategies,as the consumer is no longer swayed by marketers, instead relying on user comments for a particular product or service. Thispaper focuses on extracting information from feedbacks like suggestions and recommendation by the users that is oftenpresent along with the sentiment. While Sentiment Analysis looks at extraction of consumer sentiment, our focus is onextracting actionable feedback present in the text for use by different stakeholders like business analysts and the customer.Our focus is on mining the key suggestions present in text which would benefit the product developer. We present our resultsand observations in the paper

Optical tomography: Image improvement using mixed projection of parallel and fan beam modes

Mixed parallel and fan beam projection is a technique used to increase the quality images. This research focuses on enhancing the image quality in optical tomography. Image quality can be defined by measuring the Peak Signal to Noise Ratio (PSNR) and Normalized Mean Square Error (NMSE) parameters. The findings of this research prove that by combining parallel and fan beam projection, the image quality can be increased by more than 10%in terms of its PSNR value and more than 100% in terms of its NMSE value compared to a single parallel beam