COMMIT-P1WP3: A Co-occurrence Based Approach to Aspect-Level Sentiment Analysis

Kim Schouten; Flavius Frasincar; Franciska de Jong

COMMIT-P1WP3: A Co-occurrence Based Approach to Aspect-Level Sentiment Analysis

Kim Schouten
, Flavius Frasincar
, Franciska de Jong

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

25 Citations (Scopus)

Abstract

In this paper, the crucial ingredients for our submission to SemEval-2014 Task 4 “Aspect Level Sentiment Analysis” are discussed. We present a simple aspect detection algorithm, a co-occurrence based method for category detection and a dictionary based sentiment classification algorithm. The dictionary for the latter is based on co-occurrences as well. The failure analysis and related work section focus mainly on the category detection method as it is most distinctive for our work.

Original language	English
Title of host publication	8th International Workshop on Semantic Evaluation (SemEval 2014)
Editors	Preslav Nakov, Torsten Zesch
Publisher	Association for Computational Linguistics (ACL)
Pages	203-207
Number of pages	5
ISBN (Electronic)	9781941643242
Publication status	Published - 2014
Event	8th International Workshop on Semantic Evaluation, SemEval 2014 - Dublin, Ireland Duration: 23 Aug 2014 → 24 Aug 2014

Conference

Conference	8th International Workshop on Semantic Evaluation, SemEval 2014
Country/Territory	Ireland
City	Dublin
Period	23/08/14 → 24/08/14

Bibliographical note

Funding Information:
The authors are partially supported by the Dutch national program COMMIT.

Publisher Copyright:
© 8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings. All rights reserved.

Research programs

ESE - E&MS

Cite this

@inproceedings{08d67bf0416840058d641758cad2d083,

title = "COMMIT-P1WP3: A Co-occurrence Based Approach to Aspect-Level Sentiment Analysis",

abstract = "In this paper, the crucial ingredients for our submission to SemEval-2014 Task 4 “Aspect Level Sentiment Analysis” are discussed. We present a simple aspect detection algorithm, a co-occurrence based method for category detection and a dictionary based sentiment classification algorithm. The dictionary for the latter is based on co-occurrences as well. The failure analysis and related work section focus mainly on the category detection method as it is most distinctive for our work.",

author = "Kim Schouten and Flavius Frasincar and \{de Jong\}, Franciska",

note = "Funding Information: The authors are partially supported by the Dutch national program COMMIT. Publisher Copyright: {\textcopyright} 8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings. All rights reserved.; 8th International Workshop on Semantic Evaluation, SemEval 2014 ; Conference date: 23-08-2014 Through 24-08-2014",

year = "2014",

language = "English",

pages = "203--207",

editor = "Preslav Nakov and Torsten Zesch",

booktitle = "8th International Workshop on Semantic Evaluation (SemEval 2014)",

publisher = "Association for Computational Linguistics (ACL)",

address = "United States",

}

Schouten, K, Frasincar, F & de Jong, F 2014, COMMIT-P1WP3: A Co-occurrence Based Approach to Aspect-Level Sentiment Analysis. in P Nakov & T Zesch (eds), 8th International Workshop on Semantic Evaluation (SemEval 2014). Association for Computational Linguistics (ACL), pp. 203-207, 8th International Workshop on Semantic Evaluation, SemEval 2014, Dublin, Ireland, 23/08/14.

COMMIT-P1WP3: A Co-occurrence Based Approach to Aspect-Level Sentiment Analysis. / Schouten, Kim; Frasincar, Flavius; de Jong, Franciska.
8th International Workshop on Semantic Evaluation (SemEval 2014). ed. / Preslav Nakov; Torsten Zesch. Association for Computational Linguistics (ACL), 2014. p. 203-207.

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

TY - GEN

T1 - COMMIT-P1WP3

T2 - 8th International Workshop on Semantic Evaluation, SemEval 2014

AU - Schouten, Kim

AU - Frasincar, Flavius

AU - de Jong, Franciska

N1 - Funding Information: The authors are partially supported by the Dutch national program COMMIT. Publisher Copyright: © 8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings. All rights reserved.

PY - 2014

Y1 - 2014

N2 - In this paper, the crucial ingredients for our submission to SemEval-2014 Task 4 “Aspect Level Sentiment Analysis” are discussed. We present a simple aspect detection algorithm, a co-occurrence based method for category detection and a dictionary based sentiment classification algorithm. The dictionary for the latter is based on co-occurrences as well. The failure analysis and related work section focus mainly on the category detection method as it is most distinctive for our work.

AB - In this paper, the crucial ingredients for our submission to SemEval-2014 Task 4 “Aspect Level Sentiment Analysis” are discussed. We present a simple aspect detection algorithm, a co-occurrence based method for category detection and a dictionary based sentiment classification algorithm. The dictionary for the latter is based on co-occurrences as well. The failure analysis and related work section focus mainly on the category detection method as it is most distinctive for our work.

UR - https://www.scopus.com/pages/publications/84908502827

M3 - Conference proceeding

AN - SCOPUS:84908502827

SP - 203

EP - 207

BT - 8th International Workshop on Semantic Evaluation (SemEval 2014)

A2 - Nakov, Preslav

A2 - Zesch, Torsten

PB - Association for Computational Linguistics (ACL)

Y2 - 23 August 2014 through 24 August 2014

ER -

COMMIT-P1WP3: A Co-occurrence Based Approach to Aspect-Level Sentiment Analysis

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Bibliographical note

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