Information extraction for online review mining
Zineng. Pang · DR-NTU (Nanyang Technological University) · 2013
In this FYP report, the design and implementation of information extraction for online review mining are presented. The report explains the architecture of the overall system, the design of the database and the decision made during the web service design and database selection. The report focuses on the design of the two information extractors. The first one is the review extractor which consists of review crawling, data analysing and data storing. The feature extractor, on the other hand, directly extracts feature information from the source website and links them to the product in the database. The secondary focus of the report is on the design of the database schema. The database contains multiple categories of data and different indexing menthod, such that it could be used by other member of the team to generate dynamic diagrams and product analysis report.