DocumentCode
2013622
Title
Sentence based semantic similarity measure for blog-posts
Author
Aziz, Mehwish ; Rafi, Muhammad
Author_Institution
Comput. Sci. Dept., Nat. Univ. of Comput. & Emerging Sci., Karachi, Pakistan
fYear
2010
fDate
16-18 Aug. 2010
Firstpage
69
Lastpage
74
Abstract
Blogs-Online digital diary like application on web 2.0 has opened new and easy way to voice opinion, thoughts, and like-dislike of every Internet user to the World. Blogosphere has no doubt the largest user-generated content repository full of knowledge. The potential of this knowledge is still to be explored. Knowledge discovery from this new genre is quite difficult and challenging as it is totally different from other popular genre of web-applications like World Wide Web (WWW). Blog-posts unlike web documents are small in size, thus lack in context and contain relaxed grammatical structures. Hence, standard text similarity measure fails to provide good results. In this paper, specialized requirements for comparing a pair of blog-posts is thoroughly investigated. Based on this we proposed a novel algorithm for sentence oriented semantic similarity measure of a pair of blog-posts. We applied this algorithm on a subset of political blogosphere of Pakistan, to cluster the blogs on different issues of political realm and to identify the influential bloggers.
Keywords
Internet; Web sites; data mining; information retrieval; text analysis; Internet user; Web 2.0; World Wide Web; blog post; knowledge discovery; online digital diary; political blogosphere; sentence based semantic similarity measurement; user generated content repository; Atmospheric measurements; Dictionaries; Particle measurements; World Wide Web; algorithm; semantic similarity; text mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Content, Multimedia Technology and its Applications (IDC), 2010 6th International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-7607-7
Electronic_ISBN
978-8-9886-7827-5
Type
conf
Filename
5568598
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