KLE at TREC 2008 Blog Track: Blog Post and Feed Retrieval

Abstract

This paper describes our participation in the TREC 2008 Blog Track. For the opinion task, we made an opinion retrieval model that consists of preprocessing, topic retrieval, opinion finding, and sentiment classification parts. For topic retrieval, our system is based on the passage-based retrieval model and feedback. For the opinion analysis, we created a PSEUDO OPINIONATED WORD (POW), O, which is representative of all opinion words, and expanded the original query with O. For the blog distillation task, we integrated the average score of all posts within a feed, and the average score of the most relevant N post scores. We also examined the pseudo-relevance feedback for the distillation task by focusing on various document selection schemes to expand the query terms. The experimental results show a significant improvement over previous results.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2008
Accession Number
ADA512670

Entities

People

  • Hun-young Jng
  • Jong-hyeok Lee
  • Jungi Kim
  • Sand-hyob Nam
  • Seung-hoon Na
  • Yeha Lee

Organizations

  • Pohang University of Science and Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Distillation
  • Feedback
  • Generative Models
  • Hypotheses
  • Information Retrieval
  • Knowledge Management
  • Language
  • Models
  • New York
  • Online Communications
  • Orientation (Direction)
  • Polarity
  • Probability
  • Ratings
  • Standards

Fields of Study

  • Computer science

Readers

  • Information Retrieval