논문상세정보
-
- 저자 장인호 박기연 이준기
- 제어번호 105429600
- 학술지명 한국IT서비스학회지
- 권호사항 Vol. 17 No. 2 [ 2018 ]
- 발행처 한국IT서비스학회
- 발행처 URL http://www.itservice.or.kr
- 자료유형 학술저널
- 수록면 165-177
- 언어 Korean
- 출판년도 2018
- 등재정보 KCI등재
- 판매처
유사주제 논문( 0)
' Hierarchical Attention Network를 활용한 주제에 따른 온라인 고객 리뷰 분석 모델' 의 참고문헌
-
한글 텍스트의 오피니언 분류 자동화 기법김진옥 [2011]
-
What motivates consumers to write online travel reviews?Yoo, K. [2008]
-
What makes a review voted? An empirical investigation of review voting in online review systemsKuan, K. Y. [2015]
-
What Makes a Helpful Review? A Study of Customer Reviews on Amazon.comMudambi, S.M. [2010]
-
Sequence to Sequence Learning with Neural NetworksSutskever, I. [2014]
-
Sentiment Analysis of Deep Learning Model Applying Phoneme UnitLee, J.J. [2017]
-
Red Opal : productfeature scoring from reviewsScaffidi, C. [2007]
-
Predicting the ‘helpfulness’ of online consumer reviewsSingh, J. P. [2017]
-
Opinion Mining Based on Korean Phoneme Trigram-SignatureChang, D.S. [2015]
-
Neurual Machine Translation by Jointly Learning to Align and TranslateBahdanau, D. [2014]
-
Multilingual Hierarchical Attention Networks for Document ClassificationNikolaos, P. [2017]
-
Mining and summarizing customer ReviewsMinqing, H. [2004]
-
Mining Feature-Opinion in Online Customer Reviews for Opinion SummarizationSomprasertsri, G. [2010]
-
Learning Phrase representations using RNN Encoder-decoder for Statistical Machine TranslationCho, K. H. [2014]
-
Latent dirichlet allocationBlei, D. M. [2003]
-
Hierarchical Attention Networks for Document ClassificationYang, Z. [2016]
-
Finding scientific topicsGriffiths, T. L. [2004]
-
Exploring the value of online product reviews in forecasting sales : The case of motion picturesDellarocas, C. [2007]
-
Evaluating content quality and helpfulness of online product reviews : The interplay of review helpfulness vs. review contentKorfiatis, N. [2012]
-
Domain Adaptation for Large Scale Sentiment Classification : A Deep Learning ApproachGlorot, X. [2011]
-
Distributed Representations of Words and Phrases and their CompositionalityMikolov, T. [2013]
-
Classification of Online Reviews by Computations Semantic LexiconsKraychev, B. [2011]
-
Aspect and sentiment unification model for online review analysisJo, Y. [2011]
-
Are Consumers More Likely to Contribute Online Reviews for Hit or Niche Products?Dellarocas, C. [2010]