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Concept Aware Related Forum Post Retrieval Framework with Increased User Satisfaction Level |
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PP: 303-312 |
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doi:10.18576/amis/13S134
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Author(s) |
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L. Rasikannan,
P. Alli,
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Abstract |
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| Nowadays, Forums and blogs are considered as ones of the most valuable resources that give the beneficial information to the online users. However, identifying the related forum as well as blog posts from the masses of existing online contents is a very hard task. With the aim of taking out the most alike forum posts from the online resources, several authors introduced numerous research approaches. In the previous work, content Similarity over Intention-based Segmentation (CS-IBS) algorithm is presented. It splits the documents into several text segments from which the content-associated posts are found. But, in these past studies, preprocessing is not carried out, where the contents taken online might comprises changing noisy words that reduce the accurateness of the retrieval and by reason of not taking the sense of the multiple text segments, the accurateness of the clustering is also decreased. As a result, by presenting the new method, Concept aware related Forum Post Retrieval Framework (CR-FPRF), this issue is considered and solved in the presented research technique. According to this research, primarily forum post segmentation is carried out.
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