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Sentiment strength detection in short informal text

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Cited by:

  1. Ki-Kwang Lee & Hong-Hee Lee & Su-Ji Cho & Gyung-Su Min, 2022. "The context-based review recommendation system in e-business platform," Service Business, Springer;Pan-Pacific Business Association, vol. 16(4), pages 991-1013, December.
  2. Takahiro Yabe & P. Suresh C. Rao & Satish V. Ukkusuri, 2021. "Modeling the Influence of Online Social Media Information on Post-Disaster Mobility Decisions," Sustainability, MDPI, vol. 13(9), pages 1-13, May.
  3. Antonio Moreno-Ortiz & Soluna Salles-Bernal & Aroa Orrequia-Barea, 2019. "Design and validation of annotation schemas for aspect-based sentiment analysis in the tourism sector," Information Technology & Tourism, Springer, vol. 21(4), pages 535-557, December.
  4. Yury Kryvasheyeu & Haohui Chen & Esteban Moro & Pascal Van Hentenryck & Manuel Cebrian, 2015. "Performance of Social Network Sensors during Hurricane Sandy," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-19, February.
  5. Rodrigo Zamith & Seth C. Lewis, 2015. "Content Analysis and the Algorithmic Coder," The ANNALS of the American Academy of Political and Social Science, , vol. 659(1), pages 307-318, May.
  6. Youngseok Choi & Habin Lee, 0. "Data properties and the performance of sentiment classification for electronic commerce applications," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
  7. Lazaros Vrysis & Nikolaos Vryzas & Rigas Kotsakis & Theodora Saridou & Maria Matsiola & Andreas Veglis & Carlos Arcila-Calderón & Charalampos Dimoulas, 2021. "A Web Interface for Analyzing Hate Speech," Future Internet, MDPI, vol. 13(3), pages 1-18, March.
  8. Tadić, Bosiljka & Mitrović Dankulov, Marija & Melnik, Roderick, 2023. "Evolving cycles and self-organised criticality in social dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).
  9. Youngseok Choi & Habin Lee, 2017. "Data properties and the performance of sentiment classification for electronic commerce applications," Information Systems Frontiers, Springer, vol. 19(5), pages 993-1012, October.
  10. Oleg S. Nagornyy & Olessia Y. Koltsova, 2017. "Mining Media Topics Perceived as Social Problems by Online Audiences: Use of a Data Mining Approach in Sociology," HSE Working papers WP BRP 74/SOC/2017, National Research University Higher School of Economics.
  11. Sandra González-Bailón & Georgios Paltoglou, 2015. "Signals of Public Opinion in Online Communication," The ANNALS of the American Academy of Political and Social Science, , vol. 659(1), pages 95-107, May.
  12. Carol Shofiya & Samina Abidi, 2021. "Sentiment Analysis on COVID-19-Related Social Distancing in Canada Using Twitter Data," IJERPH, MDPI, vol. 18(11), pages 1-10, June.
  13. Wojciech Charemza & Svetlana Makarova & Krzysztof Rybiński, 2023. "Anti-pandemic restrictions, uncertainty and sentiment in seven countries," Economic Change and Restructuring, Springer, vol. 56(1), pages 1-27, February.
  14. Ma, Jie & Tse, Ying Kei & Wang, Xiaojun & Zhang, Minhao, 2019. "Examining customer perception and behaviour through social media research – An empirical study of the United Airlines overbooking crisis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 192-205.
  15. Melissa MacKay & Taylor Colangeli & Daniel Gillis & Jennifer McWhirter & Andrew Papadopoulos, 2021. "Examining Social Media Crisis Communication during Early COVID-19 from Public Health and News Media for Quality, Content, and Corresponding Public Sentiment," IJERPH, MDPI, vol. 18(15), pages 1-14, July.
  16. Overgoor, Gijs & Rand, William & van Dolen, Willemijn & Mazloom, Masoud, 2022. "Simplicity is not key: Understanding firm-generated social media images and consumer liking," International Journal of Research in Marketing, Elsevier, vol. 39(3), pages 639-655.
  17. Nabila Mohamad Sham & Azlinah Mohamed, 2022. "Climate Change Sentiment Analysis Using Lexicon, Machine Learning and Hybrid Approaches," Sustainability, MDPI, vol. 14(8), pages 1-28, April.
  18. Xiang Yuan & Luyao Wang & Xicheng Yin & Hongwei Wang, 2021. "How text sentiment moderates the impact of motivational cues on crowdfunding campaigns," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-26, December.
  19. Patricia P. Iglesias-Sánchez & Gustavo Fabián Vaccaro Witt & Francisco E. Cabrera & Carmen Jambrino-Maldonado, 2020. "The Contagion of Sentiments during the COVID-19 Pandemic Crisis: The Case of Isolation in Spain," IJERPH, MDPI, vol. 17(16), pages 1-10, August.
  20. Sejung Park & Jin-A Choi, 2023. "Comparing public responses to apologies: examining crisis communication strategies using network analysis and topic modeling," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3603-3620, August.
  21. Itziar Castelló & Michael Etter & Finn Årup Nielsen, 2016. "Strategies of Legitimacy Through Social Media: The Networked Strategy," Journal of Management Studies, Wiley Blackwell, vol. 53(3), pages 402-432, May.
  22. 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.
  23. Jan Janků & Zuzana KuÄ erová & FrantiÅ¡ek DaÅ™ena, 2023. "Behavioral Insights from Crowdfunding Financing: What Do Social Media Ties, Emotional Cues and Sentiment Tell Us?," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 71(2), pages 89-118, February.
  24. Indy Wijngaards & Martijn Burger & Job van Exel, 2019. "The promise of open survey questions—The validation of text-based job satisfaction measures," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-22, December.
  25. Zhang, Xuetong & Zhang, Weiguo, 2023. "Information asymmetry, sentiment interactions, and asset price," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
  26. Frantisek Darena & Jonas Petrovsky & Jan Zizka & Jan Prichystal, 2016. "Analyzing the correlation between online texts and stock price movements at micro-level using machine learning," MENDELU Working Papers in Business and Economics 2016-67, Mendel University in Brno, Faculty of Business and Economics.
  27. Carlos Arcila-Calderón & David Blanco-Herrero & Maximiliano Frías-Vázquez & Francisco Seoane-Pérez, 2021. "Refugees Welcome? Online Hate Speech and Sentiments in Twitter in Spain during the Reception of the Boat Aquarius," Sustainability, MDPI, vol. 13(5), pages 1-16, March.
  28. 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.
  29. Cohen, Scott & Stienmetz, Jason & Hanna, Paul & Humbracht, Michael & Hopkins, Debbie, 2020. "Shadowcasting tourism knowledge through media: Self-driving sex cars?," Annals of Tourism Research, Elsevier, vol. 85(C).
  30. Lima, Ana Carolina E.S. & de Castro, Leandro Nunes & Corchado, Juan M., 2015. "A polarity analysis framework for Twitter messages," Applied Mathematics and Computation, Elsevier, vol. 270(C), pages 756-767.
  31. 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.
  32. Kirilenko, Andrei P. & Stepchenkova, Svetlana O., 2017. "Sochi 2014 Olympics on Twitter: Perspectives of hosts and guests," Tourism Management, Elsevier, vol. 63(C), pages 54-65.
  33. Jian-Wu Bi & Tian-Yu Han & Yanbo Yao & Hui Li, 2022. "Ranking hotels through multi-dimensional hotel information: a method considering travelers’ preferences and expectations," Information Technology & Tourism, Springer, vol. 24(1), pages 127-155, March.
  34. Charemza, Wojciech & Makarova, Svetlana & Rybiński, Krzysztof, 2022. "Economic uncertainty and natural language processing; The case of Russia," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 546-562.
  35. Kinra, Aseem & Beheshti-Kashi, Samaneh & Buch, Rasmus & Nielsen, Thomas Alexander Sick & Pereira, Francisco, 2020. "Examining the potential of textual big data analytics for public policy decision-making: A case study with driverless cars in Denmark," Transport Policy, Elsevier, vol. 98(C), pages 68-78.
  36. Gabriele Ranco & Ilaria Bordino & Giacomo Bormetti & Guido Caldarelli & Fabrizio Lillo & Michele Treccani, 2014. "Coupling news sentiment with web browsing data improves prediction of intra-day price dynamics," Papers 1412.3948, arXiv.org, revised Dec 2015.
  37. Mohammadreza Mousavizadeh & Mehrdad Koohikamali & Mohammad Salehan & Dam J. Kim, 2022. "An Investigation of Peripheral and Central Cues of Online Customer Review Voting and Helpfulness through the Lens of Elaboration Likelihood Model," Information Systems Frontiers, Springer, vol. 24(1), pages 211-231, February.
  38. Gabriele Ranco & Ilaria Bordino & Giacomo Bormetti & Guido Caldarelli & Fabrizio Lillo & Michele Treccani, 2016. "Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-14, January.
  39. Müller-Hansen, Finn & Lee, Yuan Ting & Callaghan, Max & Jankin, Slava & Minx, Jan C., 2022. "The German coal debate on Twitter: Reactions to a corporate policy process," Energy Policy, Elsevier, vol. 169(C).
  40. Mitrović, Marija & Tadić, Bosiljka, 2012. "Dynamics of bloggers’ communities: Bipartite networks from empirical data and agent-based modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5264-5278.
  41. Widerstedt, Barbro & Månsson, Jonas & Rosdahl, Jonatan, 2018. "A warm welcome? Access to advisory services for men and women," Economic Analysis and Policy, Elsevier, vol. 58(C), pages 100-110.
  42. Xu, Xun & Lee, Chieh, 2020. "Utilizing the platform economy effect through EWOM: Does the platform matter?," International Journal of Production Economics, Elsevier, vol. 227(C).
  43. Claire E. Robertson & Nicolas Pröllochs & Kaoru Schwarzenegger & Philip Pärnamets & Jay J. Bavel & Stefan Feuerriegel, 2023. "Negativity drives online news consumption," Nature Human Behaviour, Nature, vol. 7(5), pages 812-822, May.
  44. Yoshifumi Tahira & Takayuki Mizuno, 2016. "Trading strategy of a stock index based on the frequency of news releases for listed companies," Evolutionary and Institutional Economics Review, Springer, vol. 13(2), pages 437-444, December.
  45. Junegak Joung & Ki-Hun Kim & Kwangsoo Kim, 2021. "Data-Driven Approach to Dual Service Failure Monitoring From Negative Online Reviews: Managerial Perspective," SAGE Open, , vol. 11(1), pages 21582440209, January.
  46. Hajar Sotudeh & Zeinab Saber & Farzin Ghanbari Aloni & Mahdieh Mirzabeigi & Farshad Khunjush, 2022. "A longitudinal study of the evolution of opinions about open access and its main features: a twitter sentiment analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 5587-5611, October.
  47. Daesik Kim & Chung Joo Chung & Kihong Eom, 2022. "Measuring Online Public Opinion for Decision Making: Application of Deep Learning on Political Context," Sustainability, MDPI, vol. 14(7), pages 1-16, March.
  48. Sergey Smetanin, 2022. "Pulse of the Nation: Observable Subjective Well-Being in Russia Inferred from Social Network Odnoklassniki," Mathematics, MDPI, vol. 10(16), pages 1-38, August.
  49. Mohammad Daradkeh, 2022. "Analyzing Sentiments and Diffusion Characteristics of COVID-19 Vaccine Misinformation Topics in Social Media: A Data Analytics Framework," International Journal of Business Analytics (IJBAN), IGI Global, vol. 9(3), pages 1-22, July.
  50. Wen Zhang & Daniel R. Fesenmaier, 2018. "Assessing emotions in online stories: comparing self-report and text-based approaches," Information Technology & Tourism, Springer, vol. 20(1), pages 83-95, December.
  51. Irina Evgenievna Kalabikhina & Evgeniy Petrovich Banin & Imiliya Abduselimovna Abduselimova & German Andreevich Klimenko & Anton Vasilyevich Kolotusha, 2021. "The Measurement of Demographic Temperature Using the Sentiment Analysis of Data from the Social Network VKontakte," Mathematics, MDPI, vol. 9(9), pages 1-25, April.
  52. Jun Lee & Adam Jatowt & Kyoung‐Sook Kim, 2021. "Discovering underlying sensations of human emotions based on social media," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 417-432, April.
  53. Taher Ahmed Ghaleb & Daniel Alencar da Costa & Ying Zou, 2022. "On the Popularity of Internet of Things Projects in Online Communities," Information Systems Frontiers, Springer, vol. 24(5), pages 1601-1634, October.
  54. Heleen Brans & Bert Scholtens, 2020. "Under his thumb the effect of president Donald Trump’s Twitter messages on the US stock market," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-11, March.
  55. Lipizzi, Carlo & Iandoli, Luca & Ramirez Marquez, José Emmanuel, 2015. "Extracting and evaluating conversational patterns in social media: A socio-semantic analysis of customers’ reactions to the launch of new products using Twitter streams," International Journal of Information Management, Elsevier, vol. 35(4), pages 490-503.
  56. Friederike Mengel, 2021. "Gender Bias In Opinion Aggregation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(3), pages 1055-1080, August.
  57. Christopher Courtney & Supradeep Dutta & Yong Li, 2017. "Resolving Information Asymmetry: Signaling, Endorsement, and Crowdfunding Success," Entrepreneurship Theory and Practice, , vol. 41(2), pages 265-290, March.
  58. Xue, Zhebin & Li, Qing & Zeng, Xianyi, 2023. "Social media user behavior analysis applied to the fashion and apparel industry in the big data era," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
  59. Tahira, Yoshifumi & Mizuno, Takayuki, 2016. "Amount of news before stock market fluctuations," HIT-REFINED Working Paper Series 45, Institute of Economic Research, Hitotsubashi University.
  60. Wang, Fang & Du, Zhao & Wang, Shan, 2023. "Information multidimensionality in online customer reviews," Journal of Business Research, Elsevier, vol. 159(C).
  61. Ema Kušen & Mark Strembeck, 2021. "“Evacuate everyone south of that line” Analyzing structural communication patterns during natural disasters," Journal of Computational Social Science, Springer, vol. 4(2), pages 531-565, November.
  62. Sanmitra Bhattacharya & Padmini Srinivasan & Phil Polgreen, 2014. "Engagement with Health Agencies on Twitter," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-12, November.
  63. Nohel Zaman & David M. Goldberg & Richard J. Gruss & Alan S. Abrahams & Siriporn Srisawas & Peter Ractham & Michelle M.H. Şeref, 2022. "Cross-Category Defect Discovery from Online Reviews: Supplementing Sentiment with Category-Specific Semantics," Information Systems Frontiers, Springer, vol. 24(4), pages 1265-1285, August.
  64. 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.
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