POLITICAL TRENDS ANALYSIS IN SOCIAL NETWORKS USING HIDDEN MARKOV MODEL
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN APPLIED SCIENCE AND ENVIRONMENTAL TECHNOLOGY
Author(s): KHURRAM MAHMOOD , NAZISH RAFIQUE , ZAINAB NAYYAR
Abstract: The main purpose of analyzing the social network data is to observe the behaviors and trends that are followed by people. How people interact with each other, what they usually share, what are their interests on social networks, so that analysts can focus new trends for the provision of those things which are of great interest for people so in this paper an easy approach of gathering and analyzing data through keyword based search in social networks is examined using NodeXL and data is gathered from twitter in which political trends have been analyzed and then its statistical calculation is done by applying hidden markov model on the data. As a result it will be analyzed that, what people are focusing most in politics.
- Publication Date: 29-Aug-2015
- DOI: 10.15224/978-1-63248-075-0-45
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- Downloads: 0
CONVERTING WASTE AGRICULTURAL BIOMASS INTO AN ENERGY SOURCE: A POLICY FRAMEWORK
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN APPLIED SCIENCE AND ENVIRONMENTAL TECHNOLOGY
Author(s): A. G. THUSITHA SUGATHAPALA
Abstract: The importance of the management of waste agricultural biomass is highlighted and a generic methodology for the development of policy framework in the promotion of waste agricultural biomass to energy conversions is presented. A stepwise process covering data collection and review, policy drivers, policy recommendations and policy coherence, with monitoring and continuous improvements is proposed. It is concluded that the establishment of a sound policy framework would enhance the benefits of the sector development, particularly contributing to the achievement of national development targets in genera
- Publication Date: 29-Aug-2015
- DOI: 10.15224/978-1-63248-075-0-46
- Views: 0
- Downloads: 0