Abstract
As the use of the Internet has recently increased, the demand for opinion information posted on the Internet has grown. However, such resources only exist on the website. People who want to search for information on the Internet find it inconvenient to visit each website.
This paper focuses on the opinion information extraction and analysis system through Web mining that is based on statistics collected from Web contents. That is, users’ opinion information which is scattered across several websites can be automatically analyzed and extracted. The system provides the opinion information search service that enables users to search for real-time positive and negative opinions and check their statistics. Also, users can do real-time search and monitoring about other opinion information by putting keywords in the system.
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Song, HB., Cho, MT., Kim, YC., Hong, SJ. (2011). Web Contents Mining System for Real-Time Monitoring of Opinion Information. In: Kim, Th., et al. Communication and Networking. FGCN 2011. Communications in Computer and Information Science, vol 266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27201-1_6
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DOI: https://doi.org/10.1007/978-3-642-27201-1_6
Publisher Name: Springer, Berlin, Heidelberg
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