Opinions in Federated Search: University of Lugano at TREC 2014 Federated Web Search Track

Abstract

This technical report presents the work carried out at the University of Lugano on TREC 2014 Federated Web Search track. The main motivation behind our approach is to provide better coverage of opinions that are present in federated resources. On the resource selection and vertical selection steps, we apply opinion mining to select opinionated resources/ verticals given a user's query. We do this by combining relevance-based selection with lexicon-based opinion mining. On the results merging step, we diversify the final document ranking based on sentiment using the retrieval-interpolated diversification method.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2014
Accession Number
ADA618663

Entities

People

  • Anastasia Giachanou
  • Fabio Crestani
  • Ilya Markov

Organizations

  • Università della Svizzera italiana

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Classification
  • Data Fusion
  • Dictionaries
  • Equations
  • Frequency
  • Information Operations
  • Information Retrieval
  • Instructions
  • Language
  • New York
  • Precision
  • Standards
  • Switzerland
  • Universities
  • Words (Language)

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Information Retrieval