CONSENTO: A new framework for opinion based entity search and summarization

Jaehoon Choi, Donghyeon Kim, Seongsoon Kim, Junkyu Lee, Sangrak Lim, Sunwon Lee, Jaewoo Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Search engines have become an important decision making tool today. Decision making queries are often subjective, such as "a good birthday present for my girlfriend", "best action movies in 2010", to name a few. Unfortunately, such queries may not be answered properly by conventional search systems. In order to address this problem, we introduce Consento, a consensus search engine designed to answer subjective queries. Consento performs segment indexing, as opposed to document indexing, to capture semantics from user opinions more precisely. In particular, we define a new indexing unit, Maximal Coherent Semantic Unit (MCSU). An MCSU represents a segment of a document, which captures a single coherent semantic. We also introduce a new ranking method, called ConsensusRank that counts online comments referring to an entity as a weighted vote. In order to validate the efficacy of the proposed framework, we compare Consento with standard retrieval models and their recent extensions for opinion based entity ranking. Experiments using movie and hotel data show the effectiveness of our framework.

Original languageEnglish
Title of host publicationACM International Conference Proceeding Series
Pages1935-1939
Number of pages5
DOIs
Publication statusPublished - 2012 Dec 19
Event21st ACM International Conference on Information and Knowledge Management, CIKM 2012 - Maui, HI, United States
Duration: 2012 Oct 292012 Nov 2

Other

Other21st ACM International Conference on Information and Knowledge Management, CIKM 2012
CountryUnited States
CityMaui, HI
Period12/10/2912/11/2

Fingerprint

Semantics
Search engines
Decision making
Hotels
Experiments

Keywords

  • consensus rank
  • consensus search
  • entity search
  • maximal coherent semantic unit
  • sentiment analysis

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Choi, J., Kim, D., Kim, S., Lee, J., Lim, S., Lee, S., & Kang, J. (2012). CONSENTO: A new framework for opinion based entity search and summarization. In ACM International Conference Proceeding Series (pp. 1935-1939) https://doi.org/10.1145/2396761.2398547

CONSENTO : A new framework for opinion based entity search and summarization. / Choi, Jaehoon; Kim, Donghyeon; Kim, Seongsoon; Lee, Junkyu; Lim, Sangrak; Lee, Sunwon; Kang, Jaewoo.

ACM International Conference Proceeding Series. 2012. p. 1935-1939.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Choi, J, Kim, D, Kim, S, Lee, J, Lim, S, Lee, S & Kang, J 2012, CONSENTO: A new framework for opinion based entity search and summarization. in ACM International Conference Proceeding Series. pp. 1935-1939, 21st ACM International Conference on Information and Knowledge Management, CIKM 2012, Maui, HI, United States, 12/10/29. https://doi.org/10.1145/2396761.2398547
Choi J, Kim D, Kim S, Lee J, Lim S, Lee S et al. CONSENTO: A new framework for opinion based entity search and summarization. In ACM International Conference Proceeding Series. 2012. p. 1935-1939 https://doi.org/10.1145/2396761.2398547
Choi, Jaehoon ; Kim, Donghyeon ; Kim, Seongsoon ; Lee, Junkyu ; Lim, Sangrak ; Lee, Sunwon ; Kang, Jaewoo. / CONSENTO : A new framework for opinion based entity search and summarization. ACM International Conference Proceeding Series. 2012. pp. 1935-1939
@inproceedings{79f9c2eabf1f4a5aa9a93dbcdc2726ca,
title = "CONSENTO: A new framework for opinion based entity search and summarization",
abstract = "Search engines have become an important decision making tool today. Decision making queries are often subjective, such as {"}a good birthday present for my girlfriend{"}, {"}best action movies in 2010{"}, to name a few. Unfortunately, such queries may not be answered properly by conventional search systems. In order to address this problem, we introduce Consento, a consensus search engine designed to answer subjective queries. Consento performs segment indexing, as opposed to document indexing, to capture semantics from user opinions more precisely. In particular, we define a new indexing unit, Maximal Coherent Semantic Unit (MCSU). An MCSU represents a segment of a document, which captures a single coherent semantic. We also introduce a new ranking method, called ConsensusRank that counts online comments referring to an entity as a weighted vote. In order to validate the efficacy of the proposed framework, we compare Consento with standard retrieval models and their recent extensions for opinion based entity ranking. Experiments using movie and hotel data show the effectiveness of our framework.",
keywords = "consensus rank, consensus search, entity search, maximal coherent semantic unit, sentiment analysis",
author = "Jaehoon Choi and Donghyeon Kim and Seongsoon Kim and Junkyu Lee and Sangrak Lim and Sunwon Lee and Jaewoo Kang",
year = "2012",
month = "12",
day = "19",
doi = "10.1145/2396761.2398547",
language = "English",
isbn = "9781450311564",
pages = "1935--1939",
booktitle = "ACM International Conference Proceeding Series",

}

TY - GEN

T1 - CONSENTO

T2 - A new framework for opinion based entity search and summarization

AU - Choi, Jaehoon

AU - Kim, Donghyeon

AU - Kim, Seongsoon

AU - Lee, Junkyu

AU - Lim, Sangrak

AU - Lee, Sunwon

AU - Kang, Jaewoo

PY - 2012/12/19

Y1 - 2012/12/19

N2 - Search engines have become an important decision making tool today. Decision making queries are often subjective, such as "a good birthday present for my girlfriend", "best action movies in 2010", to name a few. Unfortunately, such queries may not be answered properly by conventional search systems. In order to address this problem, we introduce Consento, a consensus search engine designed to answer subjective queries. Consento performs segment indexing, as opposed to document indexing, to capture semantics from user opinions more precisely. In particular, we define a new indexing unit, Maximal Coherent Semantic Unit (MCSU). An MCSU represents a segment of a document, which captures a single coherent semantic. We also introduce a new ranking method, called ConsensusRank that counts online comments referring to an entity as a weighted vote. In order to validate the efficacy of the proposed framework, we compare Consento with standard retrieval models and their recent extensions for opinion based entity ranking. Experiments using movie and hotel data show the effectiveness of our framework.

AB - Search engines have become an important decision making tool today. Decision making queries are often subjective, such as "a good birthday present for my girlfriend", "best action movies in 2010", to name a few. Unfortunately, such queries may not be answered properly by conventional search systems. In order to address this problem, we introduce Consento, a consensus search engine designed to answer subjective queries. Consento performs segment indexing, as opposed to document indexing, to capture semantics from user opinions more precisely. In particular, we define a new indexing unit, Maximal Coherent Semantic Unit (MCSU). An MCSU represents a segment of a document, which captures a single coherent semantic. We also introduce a new ranking method, called ConsensusRank that counts online comments referring to an entity as a weighted vote. In order to validate the efficacy of the proposed framework, we compare Consento with standard retrieval models and their recent extensions for opinion based entity ranking. Experiments using movie and hotel data show the effectiveness of our framework.

KW - consensus rank

KW - consensus search

KW - entity search

KW - maximal coherent semantic unit

KW - sentiment analysis

UR - http://www.scopus.com/inward/record.url?scp=84871052205&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84871052205&partnerID=8YFLogxK

U2 - 10.1145/2396761.2398547

DO - 10.1145/2396761.2398547

M3 - Conference contribution

AN - SCOPUS:84871052205

SN - 9781450311564

SP - 1935

EP - 1939

BT - ACM International Conference Proceeding Series

ER -