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Learning and Evaluating Quality Features of Web Services through User Review Sentiment Analysis
| Content Provider | Semantic Scholar |
|---|---|
| Author | Murar, Ameya |
| Copyright Year | 2016 |
| Abstract | Web Services can be evaluated in a standard way by analyzing the various features of Quality of Service (QoS). Some of the features include security, invocation fee, reliability, response time etc. It is very important to know what the user feels about these features. User sentiment about a particular service can help the developer of that service to make improvements and also help other users in selecting the correct web service. Traditionally, QoS parameters were based on the information provided by the developers of the service itself or the results of the tests obtained by invoking the service. This is not a reliable way of analyzing the quality features as the authenticity of the provider is largely unknown along with the testing environment. Therefore, a more efficient approach is necessary to evaluate the quality features of Web Services. The aim of this project was to analyze the sentiments of users from Stack Overflow about the popular 100 Web Services. The list of API’s was extracted from Programmable Web. We performed sentiment analysis on the posts extracted from Stack Overflow and accordingly list the various features affecting the user. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.cs.rit.edu/usr/local/pub/GraduateProjects/2155/2155/aam9527/Poster.pdf |
| Alternate Webpage(s) | https://www.cs.rit.edu/usr/local/pub/GraduateProjects/2155/2155/aam9527/Report.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |