The processing of big data is demanded for quick decision making less than the present processing of data, but its complexity metric is very high. In addition, the amount of data to be processed is very big and atypical data is of great importance. It also has high flexibility of processing, analysis, but it is hard to process at the same time and it’s small in quantity of the amount of simultaneous processing. Therefore, the present analysis technique of data is unsuitable for analyzing big data., so new technique is required for analyzing big data.
Text Mining
Text Mining is based on Native Processing Technology that finds out value and meaning from the atypical text data. The user can extract meaningful information from enormous amount of information, figure out connectivity with other information and find out the category which the text has through this technique. In other words, it makes user get results more than simple information retrieval. The main field of technique dealt in Text Mining at present is Document Classification, Document Clustering, Information Extraction and Document Summarization, etc.
Opinion Mining
Opinion Mining is a technique extracting reputation for product or service by collecting and analyzing consumer opinion from all of web documents and comment scattered in Internet such as SNS, blog, cafe, BBS, knowledge search.
No comments:
Post a Comment