Niranjan Pedanekar

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This paper describes methods aimed at solving the novel problem of automatically discovering ‘wishes’ from (English) documents such as reviews or customer surveys. These wishes are sentences in which authors make suggestions (especially for improvements) about a product or service or show intentions to purchase a product or service. Such ‘wishes’ are of(More)
In a developing country such as India, implementing personalized learning poses a challenge due to a large number of learners. Learners still tend to rely on 'authorized content' such as textbooks for their studies. Most learners use paper textbooks for the same. In this demonstration, we present PUSTACK, an interface for augmenting paper textbooks for(More)
Resumes and social recommendations are often high-level indicators of a candidate's technical skillset. In this paper, we present a method to create a more detailed technology skill profile of a candidate based on her code repository contributions. For this purpose, we annotate user contributions to GitHub code repositories with technology tags found in(More)
To the best of our knowledge we report the first demonstration of surface thermometry using laser-induced second-harmonic generation (SHG) on a realistic metallic surface at atmospheric pressure. The surface is probed with a pulsed infrared laser beam and the SHG signal is monitored in reflection. For metallic silver, the SHG signal is found to be(More)