We examine differences in portrayal of characters in movies using psycholinguistic and graph theoretic measures computed directly from screenplays. Differences are examined with respect to characters' gender, race, age and other metadata. Psycholinguistic metrics are extrapolated to dialogues in movies using a linear regression model built on a set of manually annotated seed words. Interesting patterns are revealed about relationships between genders of production team and the gender ratio of characters. Several correlations are noted between gender, race, age of characters and the linguistic metrics.
The disastrous effect of flood has shown its influence in the past, and as a result, millions of dollars infrastructure have been shattered. Even after so much research, still there is no global ubiquitous system that can collect, store and analyze big data and generate the flood prediction results. In this paper, a social collaborative Internet of Things (IoT) based smart flood monitoring and forecasting architecture is proposed with the convergence between big data and HPC. It classifies geographical areas into a web of hexagonal for effective installation of energy efficient IoT devices. All relevant flood causing and flood preventing attributes are sensed using these IoT devices and computed by big data and HPC rocessing. Singular Value Decomposition (SVD) is used for attributes reduction. The K-mean clustering algorithm is used to predict the current state of flood and flood rating in any location, whereas Holt-Winter's forecasting method is used to forecast the flood. Experimental evaluation is being done on meteorological data collected by the Indian government and results indicated the effectiveness of the proposed architecture.
We present the implementation of an autonomous chatbot, SHIHbot, deployed on Facebook, which answers a wide variety of sexual health questions on HIV/AIDS. The chatbot's response database is compiled from professional medical and public health resources in order to provide reliable information to users. The system's backend is NPCEditor, a response selection platform trained on linked questions and answers; to our knowledge this is the first retrieval-based chatbot deployed on a large public social network.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.