Title :
Development of an Opinion Blog Mining System
Author :
Alaa H Al-Hamami;Suzan H Shahrour
Author_Institution :
Dept. of Comput. Sci., Amman Arab Univ., Amman, Jordan
Abstract :
Current search engines apply numerous innovative searching methods that are adhered to retrieve documents or web pages containing certain queried keywords along with their synonyms. Alternatively, the user might be interested in not just finding relevant documents or web pages to a query but also extracting the opinions or reviews commented previously on some topic, this is called opinion mining. This research aims to develop an opinion blog mining system, in general, the development process of Opinion system involves employing different models and schemes related to several computer science disciplines such as data mining, databases, social networks and information retrieval. Also, this research proposes a new opinion mining method that passes several phases that include the crawling of the reviews related to a certain search Query based on user. The expected system will be developed using the .NET 2008 environment.
Keywords :
"Data mining","Blogs","Search engines","Web pages","Databases","Feature extraction","Google"
Conference_Titel :
Advanced Computer Science Applications and Technologies (ACSAT), 2015 4th International Conference on
Print_ISBN :
978-1-5090-0423-2
DOI :
10.1109/ACSAT.2015.59