Classification of Social Blogs Comments Using Text Mining
In this work, a novel e-governance framework that captured the societal impact of public sector regulations in an attempt to decipher the publics stance towards governmental decisions was proposed. This was done by exploring text mining techniques towards firstly capturing the publics opinions (communicated online) about governmental decision and secondly analyzing the polarity of the mined opinions so that they are considered in subsequent governmental decisions. Citizens opinions and comments that were posted on online blogs and Facebook were decomposed in order to evaluate how government decisions were perceived by the public and hence, how the publics implicit feedback should be interpreted by government bodies in their subsequent actions. The motivation for our study is that up-to-date government social web sites are not consistently evaluated in the government decision-making process and those citizens voices are most of the times heard in a limited audience.
Keywords: e-governance, text mining, blogs, government, decision-making
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ABOUT THE AUTHORS
Adeyemo, Adesesan Barnabas
Dr. Adesesan Barnabas ADEYEMO is a Senior Lecturer at the Computer Science Department of the University of Ibadan. He obtained his PhD, M. Tech., and PGD Computer Science degrees at the Federal University of Technology, Akure. His research interests are in Data Mining, Data Warehousing & Computer Networking. He is a member of the Nigerian Computer Society and the Computer Professionals Registration Council of Nigeria. Dr Adeyemo is a Computer Systems and Network Administration Specialist with expertise in Data Analysis and Data Management.
Ojo, Adebola Kehinde
Adebola K. OJO is a PhD student in the Department of Computer Science, University of Ibadan, Nigeria. She is a registered member of the Computer Professional of Nigeria (CPN). She had her Masters of Science Degree in Computer Science from University of Ibadan, Nigeria and her B.Sc in Computer Engineering from Obafemi Awolowo University, Ile-Ife, Nigeria. Her research interests are in Digital Computer Networks, Data Mining, Text Mining and Computer Simulation. She is also into data warehouse architecture, design and data quality via data mining approach.
Adeyemo, Adesesan Barnabas
Dr. Adesesan Barnabas ADEYEMO is a Senior Lecturer at the Computer Science Department of the University of Ibadan. He obtained his PhD, M. Tech., and PGD Computer Science degrees at the Federal University of Technology, Akure. His research interests are in Data Mining, Data Warehousing & Computer Networking. He is a member of the Nigerian Computer Society and the Computer Professionals Registration Council of Nigeria. Dr Adeyemo is a Computer Systems and Network Administration Specialist with expertise in Data Analysis and Data Management.
Ojo, Adebola Kehinde
Adebola K. OJO is a PhD student in the Department of Computer Science, University of Ibadan, Nigeria. She is a registered member of the Computer Professional of Nigeria (CPN). She had her Masters of Science Degree in Computer Science from University of Ibadan, Nigeria and her B.Sc in Computer Engineering from Obafemi Awolowo University, Ile-Ife, Nigeria. Her research interests are in Digital Computer Networks, Data Mining, Text Mining and Computer Simulation. She is also into data warehouse architecture, design and data quality via data mining approach.
