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Implicit Aspect Identification Techniques for Mining Opinions: A Survey
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 98 - Number 4 |
| Year of Publication: 2014 |
| Authors: Mily Lal, Kavita Asnani |
10.5120/17168-7238
|
Mily Lal, Kavita Asnani . Implicit Aspect Identification Techniques for Mining Opinions: A Survey. International Journal of Computer Applications. 98, 4 ( July 2014), 1-3. DOI=10.5120/17168-7238
Abstract
Gathering information by finding out what other people think is always been a common behavior . It has become necessary to summarize the information obtained due to its growing availability and popularity in the form of online review sites and personal blogs . Aspect extraction is one major step for mining opinions. Extracting aspects still remains to be a challenging in problem in opinion mining domain. Most of the research works have only concentrated in extracting explicit aspects. Implicit aspects are also important because they relate to sellers, services and logistics. Without knowing it mined opinions can be of no use. This paper describes techniques and approaches that promises to enable implicit extraction for opinion seeking systems
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