Sentiment strength detection for the social web

Cited by (1,001)

Items 101–200 of 1,001

1. Exploring customer concerns on service quality under the COVID-19 crisis: A social media analytics study from the retail industry
   Xinwei Li, Mao Xu, Wenjuan Zeng, Ying Kei Tse, Hing Kai Chan · 2022 · Journal of Retailing and Consumer Services
2. The challenges of sentiment detection in the social programmer ecosystem
   Nicole Novielli, Fabio Calefato, Filippo Lanubile · 2015 · International Workshop on Social Software Engineering (SSE)
3. Sentiment analysis techniques in recent works
   Zohreh Madhoushi, Abdul Razak Hamdan, Suhaila Zainudin · 2015 · Science and Information Conference
4. Towards Improving the Lexicon-Based Approach for Arabic Sentiment Analysis
   Nawaf A. Abdulla, Nizar A. Ahmed, Mohammed A. Shehab, Mahmoud Al‐Ayyoub, Mohammed Naji Al-Kabi, Saleh Al-rifai · 2014 · International Journal of Information Technology and Web Engineering
5. Few-shot learning for medical text: A review of advances, trends, and opportunities
   Yao Ge, Yuting Guo, Sudeshna Das, Mohammed Ali Al-Garadi, Abeed Sarker · 2023 · Journal of Biomedical Informatics
6. Peringkasan Sentimen Esktraktif di Twitter Menggunakan Hybrid TF-IDF dan Cosine Similarity
   Devid Haryalesmana Wahid, Azhari Sn · 2016 · IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
7. Predicting Vehicle Sales by Sentiment Analysis of Twitter Data and Stock Market Values
   Ping‐Feng Pai, Chia‐Hsin Liu · 2018 · IEEE Access
8. Rise of the Machines? Examining the Influence of Social Bots on a Political Discussion Network
   Loni Hagen, Stephen R. Neely, Thomas E. Keller, Ryan Scharf, Fátima Espinoza Vasquez · 2020 · Social Science Computer Review
9. Choosing your weapons: On sentiment analysis tools for software engineering research
   Robbert Jongeling, Subhajit Datta, Alexander Serebrenik · 2015 · IEEE International Conference on Software Maintenance (ICSM)
10. An influence maximization method based on crowd emotion under an emotion-based attribute social network
    Weimin Li, Yaqiong Li, Wei Liu, Can Wang · 2021 · Information Processing & Management
11. Actionable Social Media Competitive Analytics For Understanding Customer Experiences
    Wu He, Xin Tian, Yong Chen, Dazhi Chong · 2016 · Journal of Computer Information Systems
12. Effectiveness of corporate social media activities in increasing relational outcomes
    Marten Risius, Roman Beck · 2015 · Information & Management
13. ALGA: Adaptive lexicon learning using genetic algorithm for sentiment analysis of microblogs
    Hamidreza Keshavarz, Mohammad Saniee Abadeh · 2017 · Knowledge-Based Systems
14. Decoding the sentiment dynamics of online retailing customers: Time series analysis of social media
    Noor Farizah Ibrahim, Xiaojun Wang · 2019 · Computers in Human Behavior
15. Predicting User-Topic Opinions in Twitter with Social and Topical Context
    Fuji Ren, Ye Wu · 2013 · IEEE Transactions on Affective Computing
16. A benchmark study on sentiment analysis for software engineering research
    Nicole Novielli, Daniela Girardi, Filippo Lanubile · 2018 · International Conference on Mining Software Repositories (MSR)
17. Sentiment and Context-Aware Hybrid DNN With Attention for Text Sentiment Classification
    Jawad Khan, Niaz Ahmad, Shah Khalid, Farman Ali, Youngmoon Lee · 2023 · IEEE Access
18. Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus
    Hendrik Schuff, Jeremy Barnes, Julian Mohme, Sebastian Padó, Roman Klinger · 2017 · Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA)
19. The power of emotions: Leveraging user generated content for customer experience management
    Martin D. Sykora, Suzanne Elayan, Ian Richard Hodgkinson, Tom Jackson, Andrew A West · 2022 · Journal of Business Research
20. TensiStrength: Stress and relaxation magnitude detection for social media texts
    Mike A Thelwall · 2016 · Information Processing & Management
21. Comprehensive review and comparative analysis of transformer models in sentiment analysis
    Hadis Bashiri, Hassan Naderi · 2024 · Knowledge and Information Systems
22. Bibliometrics of sentiment analysis literature
    Abdalsamad Keramatfar, Hossein Amirkhani · 2018 · Journal of Information Science
23. Too Many User-Reviews! What Should App Developers Look at First?
    Ehsan Noei, Feng Zhang, Ying Zou · 2019 · IEEE Transactions on Software Engineering
24. Emotion fusion for mental illness detection from social media: A survey
    Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Sophia Ananiadou · 2022 · Information Fusion
25. Anger and Its Direction in Collaborative Software Development
    D Daviti Gachechiladze, Filippo Lanubile, Nicole Novielli, Alexander Serebrenik · 2017 · IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)
26. Gender differences in the climate change communication on Twitter
    Kim Holmberg, Iina Hellsten · 2015 · Internet Research
27. Few-shot learning for short text classification
    Leiming Yan, Yuhui Zheng, Jie Cao · 2018 · Multimedia Tools and Applications
28. Visualizing Social Media Sentiment in Disaster Scenarios
    Yafeng Lu, Xia Hu, Feng Wang, Shamanth Kumar, Huan Liu, Ross Maciejewski · 2015 · International World Wide Web Conference (WWW)
29. KNN classifier based approach for multi-class sentiment analysis of twitter data
    Soudamini Hota, Sudhir Pathak · 2018 · International Journal of Engineering & Technology
30. Sentiment analysis for dialectical Arabic
    Rehab Duwairi · 2015 · International Conference on Information and Communication Systems (ICICS)
31. Detecting sentiment embedded in Arabic social media – A lexicon-based approach
    Rehab Duwairi, Nizar A. Ahmed, Saleh Al-rifai · 2015 · Journal of Intelligent & Fuzzy Systems
32. Turds, traitors and tossers: the abuse of UK MPs via Twitter
    Stephen J. A. Ward, Liam McLoughlin · 2020 · Journal of Legislative Studies
33. BabelSenticNet: A Commonsense Reasoning Framework for Multilingual Sentiment Analysis
    David Vilares, Haiyun Peng, Ranjan Satapathy, Erik Cambria · 2018 · IEEE Symposium Series on Computational Intelligence (SSCI)
34. On the evaluation and combination of state-of-the-art features in Twitter sentiment analysis
    Jonnathan Carvalho, Alexandre Plastino · 2020 · Artificial Intelligence Review
35. Emotionally Informed Hate Speech Detection: A Multi-target Perspective
    Patricia Chiril, Endang Wahyu Pamungkas, Farah Benamara, Véronique Moriceau, Viviana Patti · 2021 · Cognitive Computation
36. Machine learning to support social media empowered patients in cancer care and cancer treatment decisions
    De Silva, Daswin, Ranasinghe, Weranja, Bandaragoda, Tharindu, Adikari, Achini, Mills, Nishan, Iddamalgoda, Lahiru, Alahakoon, Damminda, Lawrentschuk, Nathan, Persad, Raj, Osipov, Evgeny et al. · 2018 · PLOS ONE
37. Identifying customer knowledge on social media through data analytics
    Wu He, Weidong Zhang, Xin Tian, Ran Tao, Vasudeva Akula · 2018 · Journal of Enterprise Information Management
38. A Joint Segmentation and Classification Framework for Sentence Level Sentiment Classification
    Duyu Tang, Bing Qin, Furu Wei, Dong Li, Ting Liu, Ming Xing Zhou · 2015 · IEEE/ACM Transactions on Audio Speech and Language Processing
39. Do Sentiments Matter in Fraud Detection? Estimating Semantic Orientation of Annual Reports
    Sunita Goel, Özlem Uzuner · 2016 · Intelligent systems in accounting, finance and management/Intelligent systems in accounting, finance & management
40. Multi-lingual opinion mining on YouTube
    Aliaksei Severyn, Alessandro Moschitti, Olga Uryupina, Barbara Plank, Katja Filippova · 2015 · Information Processing & Management
41. Sentiment analysis of financial news articles using performance indicators
    Srikumar Krishnamoorthy · 2017 · Knowledge and Information Systems
42. Explainable recommendation with fusion of aspect information
    Yunfeng Hou, Ning Yang, Yi Wu, Philip S. Yu · 2018 · World Wide Web
43. Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods
    Ana Valdivia, Emiliya Hrabova, Iti Chaturvedi, M. Victoria Luzón, Luigi Troiano, Erik Cambria, Francisco Herrera · 2019 · Neurocomputing
44. THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning
    Chuhan Wu, Fangzhao Wu, Sixing Wu, Junxin Liu, Zhigang Yuan, Yongfeng Huang · 2018 · International Workshop on Semantic Evaluation (SemEval)
45. Measuring User Engagement
    Mounia Lalmas, Heather O'Brien, Elad Yom‐Tov · 2014 · Synthesis lectures on information concepts, retrieval, and services
46. Reputation in a dark network of online criminals
    David Décary-Hêtu, Benoît Dupont · 2013 · Global Crime
47. The role of idioms in sentiment analysis
    Lowri Williams, Christian A. Bannister, Michael Arribas‐Ayllon, Alun D. Preece, ‪Irena Spasić · 2015 · Expert Systems with Applications
48. How diverse is your team? Investigating gender and nationality diversity in GitHub teams
    Marco Ortu, Giuseppe Destefanis, Steve Counsell, Stephen Swift, Roberto Tonelli, Michele Marchesi · 2017 · Journal of Software Engineering Research and Development
49. Mining affective text to improve social media item recommendation
    Jianshan Sun, Gang Wang, Xusen Cheng, Yelin Fu · 2014 · Information Processing & Management
50. Enhanced Twitter Sentiment Analysis Using Hybrid Approach and by Accounting Local Contextual Semantic
    Itisha Gupta, Nisheeth Joshi · 2019 · Journal of Intelligent Systems
51. Gender bias in sentiment analysis
    Thelwall, Mike · 2018 · Online Information Review
52. ‘Refugees are not welcome’: Digital racism, online place-making and the evolving categorization of Syrians in Turkey
    Özge Özdüzen, Umut Korkut, Cansu Ozduzen · 2020 · New Media & Society
53. Semantic Patterns for Sentiment Analysis of Twitter
    Hassan Saif, Yulan He, Miriam Fernández, Harith Alani · 2014 · Lecture notes in computer science
54. Inter-Annotator Agreement in Sentiment Analysis: Machine Learning Perspective
    Victoria Bobicev, Marina Sokolova · 2017 · International conference Recent advances in natural language processing
55. A Feature-Oriented Sentiment Rating for Mobile App Reviews
    Washington Luiz Miranda da Cunha, Felipe Augusto Resende Viegas, Rafael Odon de Alencar, Fernando Mourão, Thiago Salles, Dárlinton Barbosa Feres Carvalho, Marcos André Gonçalves, Leonardo Chaves Dutra da Rocha · 2018 · International World Wide Web Conference (WWW)
56. A cost-sensitive three-way combination technique for ensemble learning in sentiment classification
    Yuebing Zhang, Duoqian Miao, Jiaqi Wang, Zhifei Zhang · 2018 · International Journal of Approximate Reasoning
57. Optimizing customer engagement content strategy in retail and E-tail: Available on online product review videos
    Shiv Ratan Agrawal, Divya Mittal · 2022 · Journal of Retailing and Consumer Services
58. Tweeting Links to Academic Articles
    Mike A Thelwall, Andrew Tsou, Scott Weingart, Kim Holmberg, Stefanie Haustein · 2013 · DIGITAL.CSIC (Spanish National Research Council (CSIC))
59. TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic
    Dimităr Dimitrov, Erdal Baran, Pavlos Fafalios, Ran Yu, Xiaofei Zhu, Matthäus Zloch, Stefan Dietze · 2020 · ACM International Conference on Information and Knowledge Management (CIKM)
60. A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data
    Juan Antonio Lossio-Ventura, Rachel Weger, Angela Yuson Lee, Emily P. Guinee, Joyce Y. Chung, Lauren Yvette Atlas, Eleni Linos, Francisco Pereira · 2023 · JMIR Mental Health
61. POS-RS: A Random Subspace method for sentiment classification based on part-of-speech analysis
    Gang Wang, Zhu Zhang, Jianshan Sun, Shanlin Yang, Catherine A. Larson · 2014 · Information Processing & Management
62. An emotional contagion model for heterogeneous social media with multiple behaviors
    Xi Xiong, Yuan-Yuan Li, Shao-Jie Qiao, Nan Han, Yue Wu, Jing Peng, Bin-Yong Li · 2018 · Physica A Statistical Mechanics and its Applications
63. Pre-processing Boosting Twitter Sentiment Analysis?
    Zhao Jianqiang · 2015 · IEEE International Conference on Smart City/SocialCom/SustainCom
64. Mapping the public agenda with topic modeling: The case of the Russian livejournal
    Olessia Y. Koltsova, Sergei Koltcov · 2013 · Policy & Internet
65. Toy safety surveillance from online reviews
    Matt Winkler, Alan S. Abrahams, Richard J. Gruss, Johnathan P. Ehsani · 2016 · Decision Support Systems
66. A gold standard for emotion annotation in stack overflow
    Nicole Novielli, Fabio Calefato, Filippo Lanubile · 2018 · International Conference on Mining Software Repositories (MSR)
67. Fuzzy approach for sentiment analysis
    Chris Jefferson, Han Liu, Mihaela Cocea · 2017 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
68. Seller marketing capability, brand reputation, and consumer journeys on e-commerce platforms
    Jifeng Mu, Jonathan Z. Zhang · 2021 · Journal of the Academy of Marketing Science
69. Speak to head and heart: The effects of linguistic features on B2B brand engagement on social media
    Qi Deng, Yun Wang, Michel Rod, Shaobo Ji · 2021 · Industrial Marketing Management
70. Emotive ontology: extracting fine-grained emotions from terse, informal messages
    Martin D. Sykora, Tom Jackson, Ann O’Brien, Suzanne Elayan · 2013 · Loughborough University Institutional Repository (Loughborough University)
71. I Saw You in the News: Mediated and Direct Intergroup Contact Improve Outgroup Attitudes
    Magdalena Wojcieszak, Rachid Azrout · 2016 · Journal of Communication
72. An exploratory study of Twitter messages about software applications
    Emitzá Guzmán, Rana Alkadhi, Norbert Seyff · 2017 · Requirements Engineering
73. Geo-Spatial Multimedia Sentiment Analysis in Disasters
    Abdullah Alfarrarjeh, Sumeet Agrawal, Seon‐Ho Kim, Cyrus Shahabi · 2017 · IEEE International Conference on Data Science and Advanced Analytics (DSAA)
74. Emotional and Linguistic Cues of Depression from Social Media
    Nikhita Vedula, Srinivasan Parthasarathy · 2017 · International Conference on Digital Health
75. Feature Analysis for Computational Personality Recognition Using YouTube Personality Data set
    Chandrima Sarkar, Sumit Bhatia, Arvind K. Agarwal, Juan Li · 2014
76. Same App, Different App Stores: A Comparative Study
    Mohamed Ali, Mona Erfani Joorabchi, Ali Mesbah · 2017 · IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft)
77. Hybrid Neural Network for Sina Weibo Sentiment Analysis
    Mingjie Ling, Qiaohong Chen, Qi Long Sun, Yubo Jia · 2020 · IEEE Transactions on Computational Social Systems
78. Trust in the European Union: Effects of the information environment
    Anna Brosius, Erika van Elsas, Claes H. de Vreese · 2018 · European Journal of Communication
79. The megaphone of the people? Spanish SentiStrength for real-time analysis of political tweets
    David Vilares, Mike A Thelwall, Miguel Á. Alonso · 2015 · Journal of Information Science
80. A Comparison of Pre-processing Techniques for Twitter Sentiment Analysis
    Dimitrios Effrosynidis, Symeon Symeonidis, A. Arampatzis · 2017 · International Conference on Theory and Practice of Digital Libraries
81. Predicting literature’s early impact with sentiment analysis in Twitter
    Saeed‐Ul Hassan, Naif Radi Aljohani, Nimra Idrees, Raheem Sarwar, Raheel Nawaz, Eugenio Martínez‐Cámara, Sebastián Ventura, Francisco Herrera · 2019 · Knowledge-Based Systems
82. Understanding the evolutions of public responses using social media: Hurricane Matthew case study
    Faxi Yuan, Min Li, Rui Liu · 2020 · International Journal of Disaster Risk Reduction
83. Sentiment strength detection with a context-dependent lexicon-based convolutional neural network
    Minghui Huang, Haoran Xie, Yanghui Rao, Jingrong Feng, Fu Lee Wang · 2020 · Information Sciences
84. Not all emotions are created equal: expressive behavior of the networked public on China’s social media site.
    Song, Yunya, Dai, Xin-Yu, Wang, Jia · 2016 · Computers in Human Behavior
85. Evaluating deep learning models for sentiment classification
    Betül Ay, Muhammed Talo, İbrahim Rıza Hallaç, Galip Aydın · 2018 · Concurrency and Computation Practice and Experience
86. Chinese EmoBank: Building Valence-Arousal Resources for Dimensional Sentiment Analysis
    Lung‐Hao Lee, Jianhong Li, Liang-Chih Yu · 2022 · ACM Transactions on Asian and Low-Resource Language Information Processing
87. Towards enhancement of a lexicon-based approach for Saudi dialect sentiment analysis
    Adel Assiri, Ahmed Z. Emam, Hmood Z. Al-Dossari · 2017 · Journal of Information Science
88. Sentiment Analysis: It’s Complicated!
    Kian Kenyon-Dean, Eisha A. Ahmed, Scott Fujimoto, Jeremy Georges-Filteau, Chris Glasz, Barleen Kaur, Auguste Lalande, Shruti Bhanderi, Robert Belfer, Nirmal Kanagasabai et al. · 2018 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
89. Uncovering sentiment and retweet patterns of disaster-related tweets from a spatiotemporal perspective – A case study of Hurricane Harvey
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90. Mining Successful Answers in Stack Overflow
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91. Building a Twitter opinion lexicon from automatically-annotated tweets
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92. An Approach for Radicalization Detection Based on Emotion Signals and Semantic Similarity
    Óscar Araque, Carlos Á. Iglesias · 2020 · IEEE Access
93. The Role of Emotions in Contributors Activity: A Case Study on the GENTOO Community
    David García, Marcelo Serrano Zanetti, Frank Schweitzer · 2013 · International Conference on Cloud and Green Computing
94. Do Neighbours Help? An Exploration of Graph-based Algorithms for Cross-domain Sentiment Classification
    Natalia Ponomareva, Mike A Thelwall · 2012
95. Age and gender identification in social media
    James J. Marquardt, Golnoosh Farnadi, Gayathri Vasudevan, Marie‐Francine Moens, Sergio V. Davalos, Ankur M. Teredesai, Martine De Cock · 2014 · Ghent University Academic Bibliography (Ghent University)
96. Can A mazon.com reviews help to assess the wider impacts of books?
    Kayvan Kousha, Mike A Thelwall · 2015 · Journal of the Association for Information Science and Technology
97. Universal, unsupervised (rule-based), uncovered sentiment analysis
    David Vilares, Carlos Gómez‐Rodríguez, Miguel Á. Alonso · 2016 · Knowledge-Based Systems
98. Personality-based refinement for sentiment classification in microblog
    Junjie Lin, Wenji Mao, Daniel Dajun Zeng · 2017 · Knowledge-Based Systems
99. Multi-task dialog act and sentiment recognition on Mastodon
    Christophe Cerisara, Somayeh Jafaritazehjani, Adédayọ̀ Olúòkun, Le, Hoa · 2018 · arXiv (Cornell University)
100. SentiCircles for Contextual and Conceptual Semantic Sentiment Analysis of Twitter
     Hassan Saif, Miriam Fernández, Yulan He, Harith Alani · 2014 · Lecture notes in computer science