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Your search keyword '"Raghunathan, Shriram"' showing total 11 results
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11 results on '"Raghunathan, Shriram"'

5. Sentiment Analysis using Bi-directional Recurrent Neural Network for Telugu Movies

Author

Raghunathan Shriram and Kumar RG

Subjects
General Computer Science, Mechanics of Materials, Electrical and Electronic Engineering, Civil and Structural Engineering
Abstract

Sentiment Analysis is the Natural Language Processing (NLP) is the active research area due to its vast application like stock market prediction, product re-views etc. The sentiment analysis in the regional languages are required for the film industries to increase their profit. Many existing methods has been applied on the sentiment analysis in the regional languages to increases the performance and still, it lags due in efficiency. In this research, the Bi-directional Recurrent Neural Network (BRNN) is applied to increase the performance of the sentiment analysis in the regional languages. The BRNN method has the advantages of rep-resenting the high and poor resources sentences in the common space and sentiment is analyzed based on the similarity measure. The proposed method is evaluated on the twitter data and compared this with the existing methods such as Random forest and Support Vector Machine (SVM). The proposed BRNN has the overall accuracy of 50.32%, while existing method of SVM has the overall accuracy of 38.73%.

Published
2019

6. Noninvasive neuromodulation reduces symptoms of restless legs syndrome

Author

Buchfuhrer, Mark J., primary, Baker, Fiona C., additional, Singh, Haramandeep, additional, Kolotovska, Viktoriia, additional, Adlou, Bahman, additional, Anand, Harnadar, additional, de Zambotti, Massimiliano, additional, Ismail, Mehvish, additional, Raghunathan, Shriram, additional, and Charlesworth, Jonathan D., additional

Published
2021
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11. BIG DATA VISUALISATION IN IMMERSIVE VIRTUAL REALITY ENVIRONMENTS: EMBODIED PHENOMENOLOGICAL PERSPECTIVES TO INTERACTION.

Author

Teras, Marko and Raghunathan, Shriram

Subjects
BIG data, VIRTUAL reality, SHARED virtual environments, HUMAN-computer interaction, PHENOMENOLOGY
Abstract

Ever-increasing human-computer interactions with various tracking technologies are creating unprecedented amounts of data. The amount and complexity of this 'big data' creates various challenges for its storage, analysis and presentation, but at the same time, big data is suggested to open up opportunities for those who can leverage it. This paper will discuss using immersive virtual reality environments for visualising, interacting and making sense of big data. It reveals that many of the developed applications do not justify their approaches to presentation or interaction. A phenomenological perspective of embodied perception and interaction is discussed to ground future developments. [ABSTRACT FROM AUTHOR]

Published
2015
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