Browsing by Author "Ashok, M."
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Item A personalized recommender system using Machine Learning based Sentiment Analysis over social data(Institute of Electrical and Electronics Engineers Inc., 2016) Ashok, M.; Rajanna, S.; Joshi, P.V.; Kamath S․, S.S.Social Media platforms are already an indispensable part of our daily lives. With its constant growth, it has contributed to superfluous, heterogeneous data which can be overwhelming due to its volume and velocity, thus limiting the availability of relevant and required information when a particular query is to be served. Hence, a need for personalized, fine-grained user preference-oriented framework for resolving this problem and also, to enhance user experience is increasingly felt. In this paper, we propose a such a social framework, which extracts user's reviews, comments of restaurants and points of interest such as events and locations, to personalize and rank suggestions based on user preferences. Machine Learning and Sentiment Analysis based techniques are used for further optimizing search query results. This provides the user with quicker and more relevant data, thus avoiding irrelevant data and providing much needed personalization. © 2016 IEEE.Item A personalized recommender system using Machine Learning based Sentiment Analysis over social data(2016) Ashok, M.; Rajanna, S.; Joshi, P.V.; Sowmya, Kamath S.Social Media platforms are already an indispensable part of our daily lives. With its constant growth, it has contributed to superfluous, heterogeneous data which can be overwhelming due to its volume and velocity, thus limiting the availability of relevant and required information when a particular query is to be served. Hence, a need for personalized, fine-grained user preference-oriented framework for resolving this problem and also, to enhance user experience is increasingly felt. In this paper, we propose a such a social framework, which extracts user's reviews, comments of restaurants and points of interest such as events and locations, to personalize and rank suggestions based on user preferences. Machine Learning and Sentiment Analysis based techniques are used for further optimizing search query results. This provides the user with quicker and more relevant data, thus avoiding irrelevant data and providing much needed personalization. � 2016 IEEE.Item Synthesis and characterization of porous nano crystalline biphasic calcium phosphate for bio applications(2012) Shanthi, M.S.L.; Ashok, M.; Balasubramanian, T.The nano crystalline biphasic calcium phosphates of hydroxyapatite (HAp)/?-tricalcium phosphate (?-TCp) in the ratio 80:20 and 72:28 with interconnected porosity have successfully been prepared by co-precipitation method using mixed catanionic surfactants as template. The sample was calcinated at various temperatures for 8 h. The samples were characterized using X-ray diffraction, Fourier transform infrared spectroscopy, Field emission scanning electron microscopy (FESEM) and thermal analyser. The samples calcinated at 750�C and 850�C show 75% and 89% of crystallinity respectively. Usually to obtain the biphasic calcium phosphates, either the medium will be set as acidic by altering the pH or the Ca/P ratio can be set below the value of 1.5. However this experiment was neither conducted with low Ca/P ratio (?1.5) nor at low pH (?7) to obtain the mixed phase. The combination of surfactants and calcination temperature controls the HAp/?-TCp ratio. � 2012 SPIE.Item Synthesis and characterization of porous nano crystalline biphasic calcium phosphate for bio applications(2012) Shanthi, M.S.L.; Ashok, M.; Balasubramanian, T.The nano crystalline biphasic calcium phosphates of hydroxyapatite (HAp)/β-tricalcium phosphate (β-TCp) in the ratio 80:20 and 72:28 with interconnected porosity have successfully been prepared by co-precipitation method using mixed catanionic surfactants as template. The sample was calcinated at various temperatures for 8 h. The samples were characterized using X-ray diffraction, Fourier transform infrared spectroscopy, Field emission scanning electron microscopy (FESEM) and thermal analyser. The samples calcinated at 750°C and 850°C show 75% and 89% of crystallinity respectively. Usually to obtain the biphasic calcium phosphates, either the medium will be set as acidic by altering the pH or the Ca/P ratio can be set below the value of 1.5. However this experiment was neither conducted with low Ca/P ratio (≤1.5) nor at low pH (≤7) to obtain the mixed phase. The combination of surfactants and calcination temperature controls the HAp/β-TCp ratio. © 2012 SPIE.