We consider a few focused areas where such services can have immense applications. (i) Disaster Management: For disaster management, timely situational updates are vital for the concerned authorities (e.g., Governmental and non-governmental agencies) to gain a high-level understanding of the situation and accordingly plan relief operations. Information from microblogging/social media sites as well as smart devices can play a major role towards this. (ii) E-commerce: Applications like prediction of items’ popularity, recommendation of items based on user profile, summarization of user reviews and classification of user/product profiles etc. are some of the aspects that we plan to investigate in details.. (iii) E-Health: Wearable devices play a major role in today’s world and several e-health applications are continuously gaining popularity among people, like Google Fit or Apple Health. While extraction of necessary and meaningful information from wearable devices is one objective, preserving the privacy of data is another challenge, which we target in this domain.
Introduction Due to the enormous amount of information being carried over online systems today, no user can access all such information. Therefore, to help the users, all major online organizations deploy information retrieval (content recommendation, search or ranking) systems to find important information. Current information retrieval systems have to make certain design choices. For example, […]
Microblogging sites like Twitter have become important sources of real-time situational information during disaster events. A large amount of valuable situational information is posted in these sites during disasters; however, this information is dispersed among hundreds of thousands of tweets containing sentiments and opinion of the masses. To effectively utilize microblogging sites during disaster events, […]
Location based Social Networks (LBSN) are a special type of online social networks where the location dimension is added that helps to bridge the gap between the physical world and online social networking services. Customers in a popular LBSN such as Foursquare, Yelp, etc. can share location-tagged information about visited businesses through various modalities such […]
The explosive growth of information available online frequently overwhelms users. Recommender system (RS) is a useful information ltering tool for guiding users in a personalized way of discovering products or services they might be interested in from a large space of possible options. Recommender system has been playing a more vital and essential role in […]
Sociolinguistics is the descriptive study of the effect of any and all aspects of society, including cultural norms, expectations, and context, on the way language is used, and society’s effect on language. Our Research Group mainly focusses on the online aspects of Sociolinguistics. These includes norms likes hashtags, topic entities etc… Publications: 2017 Suman Kalyan […]