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Classification based approach for summarizing opinions in blog posts (2009).
| Content Provider | CiteSeerX |
|---|---|
| Author | Sarvabhotla, Kiran Reddy, B. Kranthi Varma, Vasudeva Kiran Sarvabhotla Kranthi Reddy., B. |
| Abstract | Abstract. With the growth of web, people are using it as a medium for expressing their opinions, thoughts through blog posts, reviews (in the form of ratings), and forums. Blogosphere is a place where people read, write their views and make comments on others views or thoughts there by exchanging information. It will be very difficult for any business, orga-nization or individual to go through and understand thoughts expressed by others on a product or topic which they are interested in. Hence a summarization system which extracts, analyze and summarize opinions will be useful. Our Summarization system exactly does the same for blog posts. The entire process of summary generation is done in three stages, extract sentences which are sources for opinion (Opinion Mining), then analyze the extracted opinions to determine polarity (Opinion Analy-sis) and finally ranking the opinion sentences (Opinion Summarization). We present a classification based approach for extracting and analyzing opinions and how we use this approach to rank sentences for generating summary. |
| File Format | |
| Publisher Date | 2009-01-01 |
| Access Restriction | Open |
| Subject Keyword | Blog Post Summarization System Opinion Analy-sis Summarize Opinion Others View Summary Generation Opinion Sentence Entire Process Extracted Opinion Extract Sentence Opinion Summarization Opinion Mining |
| Content Type | Text |
| Resource Type | Article |