Will sentiment analysis need subculture? A new data augmentation approach
Author
Abstract
Suggested Citation
DOI: 10.1002/asi.24872
Download full text from publisher
References listed on IDEAS
- Georgios Paltoglou, 2016. "Sentiment-based event detection in Twitter," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(7), pages 1576-1587, July.
- Jiayue Liu & Ziyao Zhou & Ming Gao & Jiafu Tang & Weiguo Fan, 2023. "Aspect sentiment mining of short bullet screen comments from online TV series," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(8), pages 1026-1045, August.
- Philipe F. Melo & Daniel H. Dalip & Manoel M. Junior & Marcos A. Gonçalves & Fabrício Benevenuto, 2019. "10SENT: A stable sentiment analysis method based on the combination of off‐the‐shelf approaches," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(3), pages 242-255, March.
- Jie Ren & Hang Dong & Balaji Padmanabhan & Jeffrey V. Nickerson, 2021. "How does social media sentiment impact mass media sentiment? A study of news in the financial markets," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(9), pages 1183-1197, September.
- Álvaro Pérez Pozo & Javier de la Rosa & Salvador Ros & Elena González‐Blanco & Laura Hernández & Mirella de Sisto, 2022. "A bridge too far for artificial intelligence?: Automatic classification of stanzas in Spanish poetry," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(2), pages 258-267, February.
- Ziyan Chen & Yu Huang & Jing Tian & Xiaoyan Liu & Kun Fu & Tinglei Huang, 2015. "Joint model for subsentence-level sentiment analysis with Markov logic," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(9), pages 1913-1922, September.
- Noa P. Cruz & Maite Taboada & Ruslan Mitkov, 2016. "A machine-learning approach to negation and speculation detection for sentiment analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(9), pages 2118-2136, September.
- Rong Xiang & Emmanuele Chersoni & Qin Lu & Chu‐Ren Huang & Wenjie Li & Yunfei Long, 2021. "Lexical data augmentation for sentiment analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(11), pages 1432-1447, November.
- Yaxin Bi, 2022. "Sentiment classification in social media data by combining triplet belief functions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(7), pages 968-991, July.
- Erjia Yan & Zheng Chen & Kai Li, 2020. "Authors' status and the perceived quality of their work: Measuring citation sentiment change in nobel articles," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(3), pages 314-324, March.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- David M. Goldberg & Nohel Zaman & Arin Brahma & Mariano Aloiso, 2022. "Are mortgage loan closing delay risks predictable? A predictive analysis using text mining on discussion threads," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(3), pages 419-437, March.
- Dajun Dai & Ruixue Wang, 2020. "Space-Time Surveillance of Negative Emotions after Consecutive Terrorist Attacks in London," IJERPH, MDPI, vol. 17(11), pages 1-15, June.
- Wen Lou & Jiangen He & Lingxin Zhang & Zhijie Zhu & Yongjun Zhu, 2023. "Support behind the scenes: the relationship between acknowledgement, coauthor, and citation in Nobel articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5767-5790, October.
- Chi Ma & Jianping Tao & Caifeng Tan & Wei Liu & Xia Li, 2023. "Negative Media Sentiment about the Pig Epidemic and Pork Price Fluctuations: A Study on Spatial Spillover Effect and Mechanism," Agriculture, MDPI, vol. 13(3), pages 1-23, March.
- Jingda Ding & Yifan Chen & Chao Liu, 2023. "Exploring the research features of Nobel laureates in Physics based on the semantic similarity measurement," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(9), pages 5247-5275, September.
- Linhong Xu & Kun Ding & Yuan Lin, 2022. "Do negative citations reduce the impact of cited papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 1161-1186, February.
- Zhang, Yuchen & Zheng, Xiaochuan & Wu, Chuanhui & Zhou, Yusheng & Fan, Hao, 2024. "Understanding the health misinformation dissemination on Twitter: The perspective of tweets-comments consistency," Technology in Society, Elsevier, vol. 77(C).
- Heng Huang & Donghua Zhu & Xuefeng Wang, 2022. "Evaluating scientific impact of publications: combining citation polarity and purpose," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5257-5281, September.
- Kim, Jikyung (Jeanne) & Dong, Hang & Choi, Jeonghye & Chang, Sue Ryung, 2022. "Sentiment change and negative herding: Evidence from microblogging and news," Journal of Business Research, Elsevier, vol. 142(C), pages 364-376.
- Jialiang Lin & Yao Yu & Jiaxin Song & Xiaodong Shi, 2022. "Detecting and analyzing missing citations to published scientific entities," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2395-2412, May.
- Chen, Chaomei & Song, Min & Heo, Go Eun, 2018. "A scalable and adaptive method for finding semantically equivalent cue words of uncertainty," Journal of Informetrics, Elsevier, vol. 12(1), pages 158-180.
- Sandipan Sahu & Raghvendra Kumar & Pathan MohdShafi & Jana Shafi & SeongKi Kim & Muhammad Fazal Ijaz, 2022. "A Hybrid Recommendation System of Upcoming Movies Using Sentiment Analysis of YouTube Trailer Reviews," Mathematics, MDPI, vol. 10(9), pages 1-22, May.
- Shuhong Wang & Xiaojing Yi & Malin Song, 2023. "The interrelationship of air quality, investor sentiment, and stock market liquidity: a review of China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10955-10973, October.
- Jiayue Liu & Ziyao Zhou & Ming Gao & Jiafu Tang & Weiguo Fan, 2023. "Aspect sentiment mining of short bullet screen comments from online TV series," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(8), pages 1026-1045, August.
- Linhong Xu & Kun Ding & Yuan Lin & Chunbo Zhang, 2023. "Does citation polarity help evaluate the quality of academic papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 4065-4087, July.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jinfst:v:75:y:2024:i:6:p:655-670. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.