Efficient Blog Mining using Summarizing and Clustering Techniques

Emmanuel Dinakar Babu R, Saravavanakumar K


In the Blogosphere the blogs have become pervasive media in these years, the number of bloggers has increased at an exponential rate. Manually monitoring and analyzing the blogs is a labour-intensive and time-consuming task. Intuitively, you could apply existing text and Web mining techniques to blog analysis and mining , so mining the blog content has necessitated intensive research in the area of automatic text summarization and clustering semantically similar blog content from different blogs. This survey intends to investigate some of the most relevant approaches in the areas of text summarization and clustering giving special emphasis to empirical methods and extractive techniques. Some approaches that concentrate on details of the summarization problem are also discussed.


Information Retrieval, Blog mining, text summarization, text summarization, clustering

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DOI: https://doi.org/10.26483/ijarcs.v2i2.5993


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