We address some of the current challenges in intelli- gent interfaces for universal access and pr... more We address some of the current challenges in intelli- gent interfaces for universal access and present the de- sign of an intelligent interface which is aimed at 1) input processing the user's sensory modalities (or modes) via various media, 2) building (or encoding) a model of user's emotions (MOUE) and 3) adapting its multime- dia output to provide the user with an easier and more natural technology access and interaction. We identify key research issues relating to one particularly rich ap- phcation of MOUE, namely home health care provided via telemedieine.
International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), 2019
Our study employs sentiment analysis to evaluate the compatibility of Amazon.com reviews with the... more Our study employs sentiment analysis to evaluate the compatibility of Amazon.com reviews with their corresponding ratings. Sentiment analysis is the task of identifying and classifying the sentiment expressed in a piece of text as being positive or negative. On e-commerce websites such as Amazon.com, consumers can submit their reviews along with a specific polarity rating. In some instances, there is a mismatch between the review and the rating. To identify the reviews with mismatched ratings we performed sentiment analysis using deep learning on Amazon.com product review data. Product reviews were converted to vectors using paragraph vector, which then was used to train a recurrent neural network with gated recurrent unit. Our model incorporated both semantic relationship of review text and product information. We also developed a web service application that predicts the rating score for a submitted review using the trained model and if there is a mismatch between predicted rating score and submitted rating score, it provides feedback to the reviewer.
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Papers by Fatma Nasoz