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Sentiment strength detection for the social web

Citations

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Cited by:

  1. Young Bin Kim & Sang Hyeok Lee & Shin Jin Kang & Myung Jin Choi & Jung Lee & Chang Hun Kim, 2015. "Virtual World Currency Value Fluctuation Prediction System Based on User Sentiment Analysis," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-18, August.
  2. Jifeng Mu & Jonathan Z. Zhang, 2021. "Seller marketing capability, brand reputation, and consumer journeys on e-commerce platforms," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 994-1020, September.
  3. Annamalai, Balamurugan & Yoshida, Masayuki & Varshney, Sanjeev & Pathak, Atul Arun & Venugopal, Pingali, 2021. "Social media content strategy for sport clubs to drive fan engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
  4. P. D. Mahendhiran & S. Kannimuthu, 2018. "Deep Learning Techniques for Polarity Classification in Multimodal Sentiment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 883-910, May.
  5. Christopher Ifeanyi Eke & Azah Anir Norman & Liyana Shuib, 2021. "Multi-feature fusion framework for sarcasm identification on twitter data: A machine learning based approach," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-32, June.
  6. Luis J. Callarisa-Fiol & Miguel Ángel Moliner-Tena & Rosa Rodríguez-Artola & Javier Sánchez-García, 2023. "Entrepreneurship innovation using social robots in tourism: a social listening study," Review of Managerial Science, Springer, vol. 17(8), pages 2945-2971, November.
  7. Stephen Nabareseh & Eric Afful-Dadzie & Petr Klimek, 2018. "Leveraging Fine-Grained Sentiment Analysis for Competitivity," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 1-20, June.
  8. José Luis Ortega, 2022. "Classification and analysis of PubPeer comments: How a web journal club is used," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(5), pages 655-670, May.
  9. Sykora, Martin & Elayan, Suzanne & Hodgkinson, Ian R. & Jackson, Thomas W. & West, Andrew, 2022. "The power of emotions: Leveraging user generated content for customer experience management," Journal of Business Research, Elsevier, vol. 144(C), pages 997-1006.
  10. Singh, Amit & Jenamani, Mamata & Thakkar, Jitesh J. & Rana, Nripendra P., 2021. "Propagation of online consumer perceived negativity: Quantifying the effect of supply chain underperformance on passenger car sales," Journal of Business Research, Elsevier, vol. 132(C), pages 102-114.
  11. Mauricio Toledo-Acosta & Talin Barreiro & Asela Reig-Alamillo & Markus Müller & Fuensanta Aroca Bisquert & Maria Luisa Barrigon & Enrique Baca-Garcia & Jorge Hermosillo-Valadez, 2020. "Cognitive Emotional Embedded Representations of Text to Predict Suicidal Ideation and Psychiatric Symptoms," Mathematics, MDPI, vol. 8(11), pages 1-27, November.
  12. Simon Albrecht & Bernhard Lutz & Dirk Neumann, 2020. "The behavior of blockchain ventures on Twitter as a determinant for funding success," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(2), pages 241-257, June.
  13. Yankang Su & Zbigniew J. Kabala, 2023. "Public Perception of ChatGPT and Transfer Learning for Tweets Sentiment Analysis Using Wolfram Mathematica," Data, MDPI, vol. 8(12), pages 1-27, November.
  14. Yawar Abbas & M. S. I. Malik, 2023. "Defective products identification framework using online reviews," Electronic Commerce Research, Springer, vol. 23(2), pages 899-920, June.
  15. Singh, Amit & Jenamani, Mamata & Thakkar, Jitesh J. & Rana, Nripendra P., 2022. "Quantifying the effect of eWOM embedded consumer perceptions on sales: An integrated aspect-level sentiment analysis and panel data modeling approach," Journal of Business Research, Elsevier, vol. 138(C), pages 52-64.
  16. Phuong Nguyen Hong Huynh & Tin Trung Hoang & Huynh Thi Thuy Phan & Quynh Le Nhu Nguyen, 2024. "The customers’ perception of privacy in the retail industry when adopting digital transformation," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 14(2), pages 143-159.
  17. Agrawal, Shiv Ratan & Mittal, Divya, 2022. "Optimizing customer engagement content strategy in retail and E-tail: Available on online product review videos," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
  18. Victoria Tur-Viñes & Araceli Castelló-Martínez, 2019. "Commenting on Top Spanish YouTubers: “No Comment”," Social Sciences, MDPI, vol. 8(10), pages 1-14, September.
  19. Miklos Sebők & Zoltán Kacsuk & Ákos Máté, 2022. "The (real) need for a human touch: testing a human–machine hybrid topic classification workflow on a New York Times corpus," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3621-3643, October.
  20. Sunita Goel & Ozlem Uzuner, 2016. "Do Sentiments Matter in Fraud Detection? Estimating Semantic Orientation of Annual Reports," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 215-239, July.
  21. Jifeng Mu & Jonathan Zhang & Abhishek Borah & Jiayin Qi, 2022. "Creative Appeals in Firm-Generated Content and Product Performance," Information Systems Research, INFORMS, vol. 33(1), pages 18-42, March.
  22. Li Yang, 2018. "More Is Less: Only Moderate Polarized Online Product Reviews can Affect Sales," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(4), pages 192-192, March.
  23. Ping-Yu Hsu & Hong-Tsuen Lei & Shih-Hsiang Huang & Teng Hao Liao & Yao-Chung Lo & Chin-Chun Lo, 2019. "Effects of sentiment on recommendations in social network," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(2), pages 253-262, June.
  24. Roser Beneito-Montagut, 2017. "Emotions, Everyday Life, and the Social Web: Age, Gender, and Social Web Engagement Effects on Online Emotional Expression," Sociological Research Online, , vol. 22(4), pages 87-104, December.
  25. Xiong, Xi & Li, Yuanyuan & Qiao, Shaojie & Han, Nan & Wu, Yue & Peng, Jing & Li, Binyong, 2018. "An emotional contagion model for heterogeneous social media with multiple behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 185-202.
  26. Wouter van der Schors & Marco Varkevisser, 2023. "Does Enforcement of the Cartel Prohibition in Healthcare Reflect Public and Political Attitudes Towards Competition? A Longitudinal Study From the Netherlands," Journal of Competition Law and Economics, Oxford University Press, vol. 19(2), pages 193-219.
  27. Bandeh Ali Talpur & Declan O’Sullivan, 2020. "Cyberbullying severity detection: A machine learning approach," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-19, October.
  28. Sandeepa Kannangara & Wayne Wobcke, 2022. "Determining political interests of issue-motivated groups on social media: joint topic models for issues, sentiment and stance," Journal of Computational Social Science, Springer, vol. 5(1), pages 811-840, May.
  29. Martin Haselmayer & Marcelo Jenny, 2017. "Sentiment analysis of political communication: combining a dictionary approach with crowdcoding," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2623-2646, November.
  30. Della Giusta, Marina & Vukadinovic-Greetham, Danica & Jaworska, Sylvia, 2018. "Tweeting Economists: Antisocial in the socials?," MPRA Paper 89527, University Library of Munich, Germany.
  31. Fatma Najar & Nizar Bouguila, 2023. "On smoothing and scaling language model for sentiment based information retrieval," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(3), pages 725-744, September.
  32. Vaughan, Liwen & Yang, Rongbin, 2013. "Web traffic and organization performance measures: Relationships and data sources examined," Journal of Informetrics, Elsevier, vol. 7(3), pages 699-711.
  33. Kristina Lerman & Luciano G. Marin & Megha Arora & Lucas H. Costa Lima & Emilio Ferrara & David Garcia, 2018. "Language, demographics, emotions, and the structure of online social networks," Journal of Computational Social Science, Springer, vol. 1(1), pages 209-225, January.
  34. Ghasem Javadi & Mohammad Taleai, 2020. "Integration of User Generated Geo-contents and Official Data to Assess Quality of Life in Intra-national Level," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 152(1), pages 205-235, November.
  35. Li, Xinwei & Xu, Mao & Zeng, Wenjuan & Tse, Ying Kei & Chan, Hing Kai, 2023. "Exploring customer concerns on service quality under the COVID-19 crisis: A social media analytics study from the retail industry," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
  36. Gang Wang & Daqing Zheng & Shanlin Yang & Jian Ma, 2018. "FCE-SVM: a new cluster based ensemble method for opinion mining from social media," Information Systems and e-Business Management, Springer, vol. 16(4), pages 721-742, November.
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