Abstract
People and organizations that are considering the adoption of Open-Source Software (OSS), or that need to choose among different OSS products are interested in knowing the user community’s opinion, since this can provide useful indications about the strengths and limits of the software being evaluated. While several methods for the evaluation of the community size are available, there is no automated support to the extraction of the opinions of the community. In this paper we explore whether it is possible to support the OSS selection process by means of automated sentiment analysis techniques. Our goal is to understand if the actual opinion mining techniques, can be applied to get valuable opinions on OSS software. Our goal will be achieved first developing a web crawler to extract user generated content on OSS, building a data-set of relevant user generated then we apply the opinion mining process the OSS blogs data-set. We collected more than 88K user generated content and we compared the performance of our opinion mining technique with a set of existing opinion mining tools. Results of the application of our technique show that opinion mining can help to evaluate the opinions of OSS products. However, the existing opinion mining tools, even if applicable in different domains, are still not reliable in the domain of OSS, mainly because they are trained on different data-sets, opening new research directions for future work in the opinion mining domain.
Highlights
With the born of several blogging platforms users express their opinions on every kind of topics, from politic to religion, from marketing to product reviews, etc
The idea of using opinion mining techniques have been proposed in several work [13,14] Based on the aforementioned work, we believe that the investigation of an automated opinion extraction tool would be valuable for Open-Source Software (OSS) users [6]
We describe the results of the application of our approach to a set of OSS projects with our opinion mining techniques (Opin1 and OpinSVM) and four of the most common opinion mining tools:
Summary
With the born of several blogging platforms (see for instance Wordpress1) users express their opinions on every kind of topics, from politic to religion, from marketing to product reviews, etc. We identified 37 factors, clustered in five groups: economic, license, development process, product quality, customer-oriented requirements and user opinions was considered of middle importance. In another recent work, [6] we ran another survey to identify the recent motivations for the adoption of OSS and in this case, the opinions were considered as important. Several empirical works investigated the importance of OSS and the factors that bring to the OSS adoption
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