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Exploiting Higher-level Semantic Information for the Opinion-oriented Summarization of Blogs
2010
International Journal of Computational Linguistics and Applications
Together with the growth of the Web 2.0, people have started more and more to communicate, share ideas and comment in blogs, social networks, forums and review sites. Within this context, new and suitable techniques must be developed for the automatic treatment of the large volume of subjective data, to appropriately summarize the arguments presented therein (e.g. as "in favor" and "against"). This article assesses the impact of exploiting higher-level semantic information such as named
dblp:journals/ijcla/BalahurKS10
fatcat:zzt3g4xvhbg3poghhwf3pkj3k4