Query-relevant sentiment summarization based on facet identification and sentence clustering-Reference-Cited by-同舟云学术

Query-relevant sentiment summarization based on facet identification and sentence clustering

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
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Author:

Moulton Matthew¹,Gao Sophie¹,Ng Yiu-Kai¹

Affiliation:

1. Brigham Young University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3477314.3507125

Reference21 articles.

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2. S. Bahrainian and A. Dengel. 2013. Sentiment Analysis and Summarization of Twitter Data. In IEEE CSE. 227--234. S. Bahrainian and A. Dengel. 2013. Sentiment Analysis and Summarization of Twitter Data. In IEEE CSE. 227--234.

3. S. Chevalier. 2021. U.S. Online Shopper Online Reviews Concumption by Product Type. Consumer Research Report. S. Chevalier. 2021. U.S. Online Shopper Online Reviews Concumption by Product Type. Consumer Research Report.

4. W. Croft , D. Metzler , and T. Strohman . 2010 . Search Engines: Information Retrieval in Practice . Addison Wesley . W. Croft, D. Metzler, and T. Strohman. 2010. Search Engines: Information Retrieval in Practice. Addison Wesley.

5. J. Devlin , M. Chang , K. Lee , and K. Toutanova . 2018 . BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv:1810.04805. J. Devlin, M. Chang, K. Lee, and K. Toutanova. 2018. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. arXiv:1810.04805.

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