Fine-grained sentiment analysis for movie reviews in Bulgarian

Borislav Kapukaranov, Preslav Nakov

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

12 Citations (Scopus)

Abstract

We present a system for fine-grained sentiment analysis in Bulgarian movie reviews. As this is pioneering work for this combination of language and sentiment granularity, we create suitable, freely available resources: a dataset of movie reviews with fine-grained scores, and a sentiment polarity lexicon. We further compare experimentally the performance of classification, regression and ordinal regression in a 3-way, 5-way and 11-way classification setups, using as features not only the text from the reviews, but also contextual information in the form of metadata, e.g., movie length, director, actors, genre, country, and various scores: IMDB, Cinexio, and user-average. The results show that adding contextual information yields strong performance gains.

Original languageEnglish
Title of host publicationInternational Conference Recent Advances in Natural Language Processing, RANLP
PublisherAssociation for Computational Linguistics (ACL)
Pages266-274
Number of pages9
Volume2015-January
Publication statusPublished - 2015
Event10th International Conference on Recent Advances in Natural Language Processing, RANLP 2015 - Hissar, Bulgaria
Duration: 7 Sep 20159 Sep 2015

Other

Other10th International Conference on Recent Advances in Natural Language Processing, RANLP 2015
CountryBulgaria
CityHissar
Period7/9/159/9/15

Fingerprint

Metadata

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software
  • Electrical and Electronic Engineering

Cite this

Kapukaranov, B., & Nakov, P. (2015). Fine-grained sentiment analysis for movie reviews in Bulgarian. In International Conference Recent Advances in Natural Language Processing, RANLP (Vol. 2015-January, pp. 266-274). Association for Computational Linguistics (ACL).

Fine-grained sentiment analysis for movie reviews in Bulgarian. / Kapukaranov, Borislav; Nakov, Preslav.

International Conference Recent Advances in Natural Language Processing, RANLP. Vol. 2015-January Association for Computational Linguistics (ACL), 2015. p. 266-274.

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

Kapukaranov, B & Nakov, P 2015, Fine-grained sentiment analysis for movie reviews in Bulgarian. in International Conference Recent Advances in Natural Language Processing, RANLP. vol. 2015-January, Association for Computational Linguistics (ACL), pp. 266-274, 10th International Conference on Recent Advances in Natural Language Processing, RANLP 2015, Hissar, Bulgaria, 7/9/15.
Kapukaranov B, Nakov P. Fine-grained sentiment analysis for movie reviews in Bulgarian. In International Conference Recent Advances in Natural Language Processing, RANLP. Vol. 2015-January. Association for Computational Linguistics (ACL). 2015. p. 266-274
Kapukaranov, Borislav ; Nakov, Preslav. / Fine-grained sentiment analysis for movie reviews in Bulgarian. International Conference Recent Advances in Natural Language Processing, RANLP. Vol. 2015-January Association for Computational Linguistics (ACL), 2015. pp. 266-274
@inproceedings{cae63739657e49c29216a9838dcd2715,
title = "Fine-grained sentiment analysis for movie reviews in Bulgarian",
abstract = "We present a system for fine-grained sentiment analysis in Bulgarian movie reviews. As this is pioneering work for this combination of language and sentiment granularity, we create suitable, freely available resources: a dataset of movie reviews with fine-grained scores, and a sentiment polarity lexicon. We further compare experimentally the performance of classification, regression and ordinal regression in a 3-way, 5-way and 11-way classification setups, using as features not only the text from the reviews, but also contextual information in the form of metadata, e.g., movie length, director, actors, genre, country, and various scores: IMDB, Cinexio, and user-average. The results show that adding contextual information yields strong performance gains.",
author = "Borislav Kapukaranov and Preslav Nakov",
year = "2015",
language = "English",
volume = "2015-January",
pages = "266--274",
booktitle = "International Conference Recent Advances in Natural Language Processing, RANLP",
publisher = "Association for Computational Linguistics (ACL)",

}

TY - GEN

T1 - Fine-grained sentiment analysis for movie reviews in Bulgarian

AU - Kapukaranov, Borislav

AU - Nakov, Preslav

PY - 2015

Y1 - 2015

N2 - We present a system for fine-grained sentiment analysis in Bulgarian movie reviews. As this is pioneering work for this combination of language and sentiment granularity, we create suitable, freely available resources: a dataset of movie reviews with fine-grained scores, and a sentiment polarity lexicon. We further compare experimentally the performance of classification, regression and ordinal regression in a 3-way, 5-way and 11-way classification setups, using as features not only the text from the reviews, but also contextual information in the form of metadata, e.g., movie length, director, actors, genre, country, and various scores: IMDB, Cinexio, and user-average. The results show that adding contextual information yields strong performance gains.

AB - We present a system for fine-grained sentiment analysis in Bulgarian movie reviews. As this is pioneering work for this combination of language and sentiment granularity, we create suitable, freely available resources: a dataset of movie reviews with fine-grained scores, and a sentiment polarity lexicon. We further compare experimentally the performance of classification, regression and ordinal regression in a 3-way, 5-way and 11-way classification setups, using as features not only the text from the reviews, but also contextual information in the form of metadata, e.g., movie length, director, actors, genre, country, and various scores: IMDB, Cinexio, and user-average. The results show that adding contextual information yields strong performance gains.

UR - http://www.scopus.com/inward/record.url?scp=84949792871&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84949792871&partnerID=8YFLogxK

M3 - Conference contribution

VL - 2015-January

SP - 266

EP - 274

BT - International Conference Recent Advances in Natural Language Processing, RANLP

PB - Association for Computational Linguistics (ACL)

ER -