Customer Comments Analysis by Opinion Mining

碩士 === 東吳大學 === 資訊管理學系 === 106 === Since the age of web 2.0, there are many social media platforms which contained users’ online reviews about different kinds of products. Product online reviews provide rich information about customers' opinion. The large amount of customer-generated product re...

Full description

Bibliographic Details
Main Authors: LI, KUA-MAI, 李姱勱
Other Authors: CHENG, LI-CHEN
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/4367qj
Description
Summary:碩士 === 東吳大學 === 資訊管理學系 === 106 === Since the age of web 2.0, there are many social media platforms which contained users’ online reviews about different kinds of products. Product online reviews provide rich information about customers' opinion. The large amount of customer-generated product reviews had become a source of mining competitive intelligence. According the data, which can help people to design the product and make choice in a future. In the study, we research the smart-watch comment from Amazon website, which is the concurrent product from the world renowned company. We get two results. The first result is product features that consumers most care, the second is relationship between opinions of product feature. According the information, which can help companies to know the product positioning in the consumer market.