| Summary: | 碩士 === 東吳大學 === 資訊管理學系 === 100 === With the flourishing of the World Wide Web, the online customer review
process is becoming more and more useful and important as an information resource
for people. As a result, opinion mining research for analysis of opinion data on the
web has recently become a popular topic. Most previous studies have used Pointwise
Mutual Information (PMI) to predict the opinion (positive or negative). This study
first proposes a method which combines the associative classification methodology
with the overall rating to discover the relation of the features. By the way, the
proposed framework discovered the changes of users’ opinion that can identify the
characteristics of different generations. The tested products included the tablet ipad,
ipad2 and Camera LX3, LX5, S90 and S95. Experimental results demonstrate the
effectiveness of the proposed approach. The data set contains actual WOM
information from which to study the dynamic patterns of users' changing opinions.
The summarized results can help consumers and marketing managers to make
decision.
|
|---|
