Mr. Ranjan Satapathy is currently pursuing Ph.D., at the School of Computer Science and Engg., NTU Singapore under the supervision of Dr. Erik Cambria. His major research interests are deep learning, sentiment analysis and natural language processing.
He completed his Bachelor”s degree in Computer Science and Engg., from IIIT-Bhubaneswar, India in 2013. He further recieved a M.Tech degree from University of Hyderabad, India in 2016, with majors in Computer Science. During his pursuits of Master”s degree, he joined Dr. Cambria”s research group Sentic Net as an intern, where he worked on bio-medical sentiment analysis. This exposure and a keen-to-learn attitude motivated him to apply for Ph.D under Dr. Cambria.
12 Ebooks por Erik Cambria
Jiuwen Cao & Kezhi Mao: Proceedings of ELM-2014 Volume 1
This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the rese …
PDF
Inglês
€213.99
Jiuwen Cao & Kezhi Mao: Proceedings of ELM-2014 Volume 2
This book contains some selected papers from the International Conference on Extreme Learning Machine 2014, which was held in Singapore, December 8-10, 2014. This conference brought together the rese …
PDF
Inglês
€213.99
Erik Cambria & Amir Hussain: Sentic Computing
This volume presents a knowledge-based approach to concept-level sentiment analysis at the crossroads between affective computing, information extraction, and common-sense computing, which exploits b …
PDF
Inglês
€96.29
Erik Cambria & Dipankar Das: A Practical Guide to Sentiment Analysis
Sentiment analysis research has been started long back and recently it is one of the demanding research topics. Research activities on Sentiment Analysis in natural language texts and other media are …
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Inglês
€149.79
Jiuwen Cao & Erik Cambria: Proceedings of ELM-2016
This book contains some selected papers from the International Conference on Extreme Learning Machine 2016, which was held in Singapore, December13-15, 2016. This conference will provide a forum for …
PDF
Inglês
€149.79
Ranjan Satapathy & Erik Cambria: Sentiment Analysis in the Bio-Medical Domain
The abundance of text available in social media and health-related forums and blogs have recently attracted the interest of the public health community to use these sources for opinion mining. This b …
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Inglês
€149.79
Soujanya Poria & Amir Hussain: Multimodal Sentiment Analysis
This latest volume in the series, Socio-Affective Computing, presents a set of novel approaches to analyze opinionated videos and to extract sentiments and emotions. Textual sentiment analysis …
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Inglês
€149.79
Erik Cambria & Amir Hussain: Sentic Computing
In this book common sense computing techniques are further developed and applied to bridge the semantic gap between word-level natural language data and the concept-level opinions conveyed by these. …
PDF
Inglês
€53.49
Erik Cambria & Ivan Cantador: Semantic Web Evaluation Challenge
This book constitutes the thoroughly refereed post conference proceedings of the first edition of the Semantic Web Evaluation Challenge, Sem Web Eval 2014, co-located with the 11th Extended Semantic …
PDF
Inglês
DRM
€57.46
Frank Xing & Erik Cambria: Intelligent Asset Management
This book presents a systematic application of recent advances in artificial intelligence (AI) to the problem of asset management. While natural language processing and text mining techniques, such a …
PDF
Inglês
€96.29
Xiaoshi Zhong & Erik Cambria: Time Expression and Named Entity Recognition
This book presents a synthetic analysis about the characteristics of time expressions and named entities, and some proposed methods for leveraging these characteristics to recognize time expressions …
PDF
Inglês
€139.09
Erik Cambria: Understanding Natural Language Understanding
About half a century ago, AI pioneers like Marvin Minsky embarked on the ambitious project of emulating how the human mind encodes and decodes meaning. While today we have a better understanding of t …
PDF
Inglês
DRM
€107.50
