Abstract

Blogs and Web services agree to express user’s opinions and interests, in the form of small text messages which gives abbreviated and highly personalized remarks in real-time. Recognizing emotion is really significant for a text-based communication tool such as blogs. Nowadays, user opinions in the structure of comments, reviews in blogs have been utilized by researchers for various purposes. Among them the application of sentiment analysis techniques to these opinions is an interesting one. This paper deals with a proposal of a software structural design for constructing Web mining applications in the blog world. The design includes blog crawling and data mining algorithms, to offer a full-fledged and flexible key for constructing general-purpose Web mining applications. The structural design allocates some significant customizations, such as the construction of adapters for reading text from different blogs, and the utilization of different pre-processing methods and data mining procedures. The core of this paper is on explaining the innovative software structural design of the general framework offering thorough information about the data mining sub-framework.