Modeling and Verification of a Sentiment Analysis System Using Aspect-Oriented Petri Nets  

作　　者：Shu-Hung Yang Yi-Nan Lin Cheng-Ying Yang Ming-Kuen Chen Victor R.L.Shen Yu-Wei Lin 

机构地区：[1]the Department of Business Management,National Taipei University of Technology,Taipei 10608 [2]the Department of Computer Science,University of Taipei,Taipei 100 [3]the Department of Information Management,Chaoyang University of Technology,Taichung 413 [4]the Department of Computer Science and Information Engineering,National Taipei University,New Taipei 23741

出　　处：《Journal of Electronic Science and Technology》2022年第2期209-223,共15页电子科技学刊（英文版）

基　　金：supported by project under Grants No.MOST 107-2221-E-845-001-MY3 and No.MOST 110-2221-E-845-002

摘　　要：An increasing number of social media and networking platforms have been widely used. People usually post the online comments to share their own opinions on the networking platforms with social media. Business companies are increasingly seeking effective ways to mine what people think and feel regarding their products and services. How to correctly understand the online customers’ reviews becomes an important issue. This study aims to propose a method with the aspect-oriented Petri nets(AOPN) to improve the examination correctness without changing any process and program. We collect those comments from the online reviews with Scrapy tools, perform sentiment analysis using SnowNLP, and examine the analysis results to improve the correctness. In this paper, we apply our method for a case of the online movie comments. The experimental results have shown that AOPN is helpful for the sentiment analysis and verifying its correctness.

关 键 词：OWN CORRECTNESS COMPANIES 

分 类 号：TP301.1[自动化与计算机技术—计算机系统结构] TP391.1[自动化与计算机技术—计算机科学与技术]