Sentiment strength detection for the social web

Cited by (1,001)

Items 601–700 of 1,001

1. A review of open-source machine learning algorithms for twitter text sentiment analysis and image classification
   Conor Lynch, Christian O’Leary, Gary Smith, Rose Bain, Jacqueline Kehoe, Alex Vakaloudis, Richrd Linger · 2020 · International Joint Conference on Neural Networks (IJCNN)
2. Exploiting the Unique Expression for Improved Sentiment Analysis in Software Engineering Text
   Kexin Sun, Hui Gao, Hongyu Kuang, Xiaoxing Ma, Guoping Rong, Dong Shao, He Zhang · 2021 · IEEE International Conference on Program Comprehension (ICPC)
3. Does sentiment help requirement engineering: exploring sentiments in user comments to discover informative comments
   Jongwook Jeong, 김능회 · 2021 · Automated Software Engineering
4. Toward Transformer Fusions for Chinese Sentiment Intensity Prediction in Valence-Arousal Dimensions
   Yu-Chih Deng, Yih‐Ru Wang, Sin‐Horng Chen, Lung‐Hao Lee · 2023 · IEEE Access
5. A Tool-Based Methodology to Analyze Social Network Interactions in Cultural Fields: The Use Case “MuseumWeek”
   Antoine Courtin, Brigitte Juanals, Jean-Luc Minel, Mathide de Saint Léger · 2015 · Lecture notes in computer science
6. TexRep: A Text Mining Framework for Online Reputation Monitoring
   Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eugénio Oliveira · 2017 · New Generation Computing
7. NSEmo at EmoInt-2017: An Ensemble to Predict Emotion Intensity in Tweets
   Sreekanth Madisetty, Maunendra Sankar Desarkar · 2017 · Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA)
8. The Development of the Chinese Sentiment Lexicon for Internet
   Jia‐Lin Zhao, Mengzhu Li, Juan Yao, Gehua Qin · 2019 · Frontiers in Psychology
9. RETRACTED: Risk assessment of logistics finance enterprises based on BP neural network and fuzzy mathematical model
   Aiqun Wang, Zicong He, Wang Yilin · 2020 · Journal of Intelligent & Fuzzy Systems · Retracted
10. Sentiment Analysis of Microblogging Data
    Pierpaolo Basile, Valerio Basile, Malvina Nissim, Nicole Novielli, Viviana Patti · 2017 · Springer eBooks
11. Use of text mining and natural language processing techniques in analyzing sustainability reports: A systematic literature review and assessment
    Mahsa Mohammadrezaei, José Carlos Marques, Asif M. Huq · 2025 · SSRN Electronic Journal
12. Chinese Sentiment Classification Based on the Sentiment Drop Point
    Zhifeng Hao, Jie Cheng, Ruichu Cai, Wen Wen, Lijuan Wang · 2013 · Communications in computer and information science
13. Finding polarized communities and tracking information diffusion on Twitter: a network approach on the Irish Abortion Referendum
    Caroline Brasileiro Pena, Pádraig MacCarron, David J. P. O’Sullivan · 2025 · Royal Society Open Science
14. A Path Toward the Use of Trail Users’ Tweets to Assess Effectiveness of the Environmental Stewardship Scheme: An Exploratory Analysis of the Pennine Way National Trail
    Tom Wilson, Robin Lovelace, Andrew John Evans · 2016 · Applied Spatial Analysis and Policy
15. Detecting public sentiment over PM2.5 pollution hazards through analysis of Chinese microblog.
    Yongzhong Sha, Jinsong Yan, Guoray Cai · 2014 · Lanzhou University Institutional Repository
16. An Approach of Extracting Feature Requests from App Reviews
    Zhenlian Peng, Jian Wang, Keqing He, Mingdong Tang · 2017 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
17. THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM
    Chuhan Wu, Fangzhao Wu, Junxin Liu, Zhigang Yuan, Sixing Wu, Yongfeng Huang · 2018 · International Workshop on Semantic Evaluation (SemEval)
18. DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning
    Habibeh Naderi, Behrouz Haji Soleimani, Saif M. Mohammad, Svetlana Kiritchenko, Stan Matwin · 2018 · International Workshop on Semantic Evaluation (SemEval)
19. Towards the Automatic Identification and Monitoring of Radicalization Activities in Twitter
    Daniel López-Sánchez, Jorge Revuelta, Fernando De la Prieta, Juan M. Corchado · 2018 · Communications in computer and information science
20. Sentiment Prediction Based on Lexical Analysis Using Deep Learning
    Subrata Chowdhury, Sheikh Abujar, Mohd. Saifuzzaman, Priyanka Ghosh, Syed Akhter Hossain · 2018 · Advances in intelligent systems and computing
21. Building Phrase Polarity Lexicons for Sentiment Analysis
    Rahim Dehkharghani · 2018 · International Journal of Interactive Multimedia and Artificial Intelligence
22. An Ontology-Based Thermal Comfort Management System In Smart Buildings
    Adrian Taboada Orozco, Amira Mouakher, Imen Ben Sassi, Christophe Nicolle · 2019 · International Conference on Management of Emergent Digital EcoSystems (MEDES)
23. Journal of the Association for Information Science and Technology: Analysis of two decades of published research
    Naresh Kumar Agarwal, Md. Anwarul Islam · 2020 · Proceedings of the Association for Information Science and Technology
24. Are gold hoop earrings and a dab of red lipstick enough to get even Democrats on the offensive?
    Margaret Rasulo · 2020 · Journal of Language Aggression and Conflict
25. Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi.
    Wazir Ali, Naveed Ali, Yong Dai, Jay Kumar, Saifullah Tumrani, Zenglin Xu · 2021
26. Sentiment Evolution Analysis and Association Rule Mining for COVID-19 Tweets
    Yassine Drias, Habiba Drias · 2021 · Journal of Digital Art & Humanities
27. Detection and analysis of graduate students’ academic emotions in the online academic forum based on text mining with a deep learning approach
    Qiaoyun Xu, Sijing Chen, Yan Xu, Chao Ma · 2023 · Frontiers in Psychology
28. Improving the Sentiment Analysis Process of Spanish Tweets with BM25
    Juan Sixto, Aitor Almeida, Diego López–de–Ipiña · 2016 · Lecture notes in computer science
29. Artificial and Natural Topic Detection in Online Social Networks
    Sylvio Barbon, Gabriel Marques Tavares, Guilherme Sakaji Kido · 2017 · iSys - Brazilian Journal of Information Systems
30. FCE-SVM: a new cluster based ensemble method for opinion mining from social media
    Gang Wang, Daqing Zheng, Shanlin Yang, Jian Ma · 2017 · Information Systems and e-Business Management
31. THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction
    Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang · 2018 · International Workshop on Semantic Evaluation (SemEval)
32. Sentiment Analysis System in Big Data Environment
    Wint Nyein Chan, Thandar Thein · 2018 · Computer Systems Science and Engineering
33. Beyond the topics: how deep learning can improve the discriminability of probabilistic topic modelling
    Noura Al Moubayed, Andrew Stephen McGough, Bashar Awwad Shiekh Hasan · 2020 · PeerJ Computer Science
34. An Opinion Spread Prediction Model With Twitter Emotion Analysis During Algeria’s Hirak
    Ahlem Drif, Khalil Hadjoudj · 2020 · The Computer Journal
35. Recent Developments in Sentiment Analysis on Social Networks: Techniques, Datasets, and Open Issues
    Akrati Saxena, Harita Reddy, Pratishtha Saxena · 2021 · Smart innovation, systems and technologies
36. Automatic Triage of Mental Health Online Forum Posts: CLPsych 2016 System Description
    Hayda Almeida, Marc Queudot, Marie‐Jean Meurs · 2016 · Workshop on Computational Linguistics and Clinical Psychology (CLPsych)
37. Using social and topical distance to analyze information sharing on social media
    Philippe Mongeon · 2018 · Proceedings of the Association for Information Science and Technology
38. A Comparison of the Use of Several Different Resources on Lexicon Based Indonesian Sentiment Analysis on App Review Dataset
    Bayu Trisna Pratama, Ema Utami, Andi Sunyoto · 2019 · International Conference of Artificial Intelligence and Information Technology (ICAIIT)
39. Finding good representations of emotions for text classification
    Ji Ho Park · 2018
40. Statistical learning approaches to sentiment analysis in the Nigerian banking context
    Bayode Ogunleye · 2021 · Sheffield Hallam University
41. 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 · 2016 · IGI Global eBooks
42. Yesterday once more: collective storytelling and public engagement with digital cultural products on the music streaming platform
    Chengjun Wang, Xinzhi Zhang, Zepeng Gou, Youqin Wu · 2024 · Humanities and Social Sciences Communications
43. Modeling Affective Mechanisms in Relaxing Video Games: Sentiment and Topic Analysis of User Reviews
    Yuxin Xing, Wenbao Ma, Qiang You, Jiaxing Li · 2025 · Systems
44. Incorporating student opinion into opinion mining
    Garron Hillaire, Bart Rienties, Mark Fenton‐O’Creevy, Zdeněk Zdráhal, Dirk T. Tempelaar · 2022 · Routledge eBooks
45. SSK-DNN: Semantic and Sentiment Knowledge for Incremental Text Sentiment Classification
    Jawad Khan, Niaz Ahmad, Chanyeok Choi, Saif Ullah, Gyurin Kim, Youngmoon Lee · 2023 · IEEE ... International Conference on Data Mining workshops
46. Contextual Sentiment Analysis in Social Media Using High-Coverage Lexicon
    Aminu Muhammad, Nirmalie Wiratunga, Robert Lothian, Richard J. Glassey · 2013 · Springer eBooks
47. Microblog Retrieval Using Ensemble of Feature Sets through Supervised Feature Selection
    Abu Nowshed Chy, Md Zia Ullah, Masaki Aono · 2017 · IEICE Transactions on Information and Systems
48. Sentiment classification of short text using sentimental context
    Wenjie Zheng, Zenan Xu, Yanghui Rao, Haoran Xie, Fu Lee Wang, Reggie Kwan · 2017 · International Conference on Behavioral, Economic, and Socio-Cultural Computing
49. #ISIS—A Comparative Analysis of Country-Specific Sentiment on Twitter
    S. Denise Ruhrberg, Giulia Kirstein, Tim Habermann, Janina Nikolic, Wolfgang G. Stock · 2018 · Open Journal of Social Sciences
50. Sentimental Analysis of “Aarogya Setu”
    Illa Garg, Deepti Kiran, Itisha Sharma · 2020 · International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC)
51. Incorporating Pre-trained Transformer Models into TextCNN for Sentiment Analysis on Software Engineering Texts
    Kexin Sun, Xiaobo Shi, Hui Gao, Hongyu Kuang, Xiaoxing Ma, Guoping Rong, Dong Shao, Zheng Zhao, He Zhang · 2022 · Asia-Pacific Symposium on Internetware
52. Leveraging ParsBERT for cross-domain polarity sentiment classification of Persian social media comments
    Mahnaz Panahandeh, Shirin Ghanbari · 2023 · Multimedia Tools and Applications
53. Investigating Consumer Information Search Behavior and Consumer Emotions to Improve Sales Forecasting
    Janek Benthaus, Christoph Skodda · 2015 · Journal of the Association for Information Systems
54. A Descriptive Analysis of Twitter Activity in Spanish around Boston Terror Attacks
    Álvaro Cuesta, David F. Barrero, Maria Dolores R-Moreno · 2013 · Lecture notes in computer science
55. Social media and sentiment in bioenergy consultation
    Victoria S. Uren, Daniel Wright, James Scott, Yulan He, Hassan Saif · 2016 · International Journal of Energy Sector Management
56. Movies Recommendation Based on Opinion Mining in Twitter
    Marcelo G. Armentano, Silvia Schiaffino, Ingrid Christensen, Francisco Boato · 2015 · Lecture notes in computer science
57. Learning to Analyze Relevancy and Polarity of Tweets.
    Rianne Kaptein · 2012
58. Text classification: The case of multiple labels
    Victoria Bobicev · 2016 · International Conference on Communications (COMM)
59. Language, demographics, emotions, and the structure of online social networks
    Kristina Lerman, Luciano G. Marin, Megha Arora, Lucas Henrique C. Lima, Emilio Ferrara, David García · 2017 · Journal of Computational Social Science
60. This! Identifying New Sentiment Slang Through Orthographic Pleonasm Online: Yasss Slay Gorg Queen Ilysm
    Mike A Thelwall · 2021 · IEEE Intelligent Systems
61. The market value of rhetorical signals in technology licensing contracts
    Thu (Jordan) Truong, Stephan Ludwig, Erik Mooi, Liliana L. Bove · 2022 · Industrial Marketing Management
62. Public attitudes on social media toward vaccination before and during the COVID-19 pandemic
    Uzair Shah, Md. Rafiul Biswas, Raian Ali, Hazrat Ali, Zubair Shah · 2022 · Human Vaccines & Immunotherapeutics
63. Sentiment Analysis of Omicron Tweets by using Machine Learning Models
    Unaiza Fazal, Muhibullah Khan, Muhammad Sajid Maqbool, Hadia Bibi, Rubaina Nazeer · 2023 · VFAST Transactions on Software Engineering
64. Context-Aware Sentiment Analysis of Social Media
    Aminu Muhammad, Nirmalie Wiratunga, Robert Lothian · 2015 · Studies in computational intelligence
65. Sentiment Strength Prediction Using Auxiliary Features
    Huijun Chen, Xin Li, Yanghui Rao, Haoran Xie, Fu Lee Wang, Tak-Lam Wong · 2017 · International World Wide Web Conference (WWW)
66. Contrastive Learning of Sociopragmatic Meaning in Social Media
    Chiyu Zhang, Muhammad Abdul-Mageed, Ganesh Jawahar · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
67. Predicting Contextually Appropriate Venues in Location-Based Social Networks
    Jarana Manotumruksa, Craig Macdonald, Iadh Ounis · 2016 · Lecture notes in computer science
68. Text Sentiment Mining used for Constructing Investor Sentiment in Social Media: Survey and Recommendations
    Qing Liu, Hosung Son · 2025 · SAGE Open
69. SentimentMapper: A framework for mapping of sentiments towards disaster response using social media data
    Tanu Gupta, Aman Rai, Sudip Kumar Roy · 2025 · Applied Intelligence
70. Stay Tuned: Improving Sentiment Analysis and Stance Detection Using Large Language Models
    Max Griswold, Michael W. Robbins, Michael Pollard · 2025 · Political Analysis
71. Bullying in individuals with cleft lip and palate: A Twitter analysis
    Yasemin Nur Korkmaz, Semiha Arslan, Süleyman Kutalmış Büyük · 2021 · International Journal of Clinical Practice
72. Evaluation of orthodontic retention and retainer content on the Reddit social media website
    Maurice J. Meade, Prashanthan Sooriakumaran, Xiangqun Ju, David Hunter, Lisa Jamieson · 2023 · Journal of the World Federation of Orthodontists
73. Uni2Mul: A Conformer-Based Multimodal Emotion Classification Model by Considering Unimodal Expression Differences with Multi-Task Learning
    Lihong Zhang, Chaolong Liu, Nan Jia · 2023 · Applied Sciences
74. Emotion Analysis in Software Ecosystems
    Nicole Novielli, Alexander Serebrenik · 2023 · Springer eBooks
75. Better together: Automated app review analysis with deep multi-task learning
    Yawen Wang, Junjie Wang, Hongyu Zhang, Xuran Ming, Qing Wang · 2024 · Information and Software Technology
76. The Role of Emotional Variables in the Classification and Prediction of Collective Social Dynamics
    Jan Chołoniewski, Julian Sienkiewicz, Janusz A. Hołyst, Mike A Thelwall · 2015 · Acta Physica Polonica A
77. MHSubLex: Using Metaheuristic Methods for Subjectivity Classification of Microblogs
    Hamidreza Keshavarz, Mohammad Saniee Abadeh · 2018 · DOAJ (DOAJ: Directory of Open Access Journals)
78. A new lexicon learning algorithm for sentiment analysis of big data
    Hamidreza Keshavarz, Mohammad Saniee Abadeh, Mehrdad Almasi · 2017 · IEEE International Symposium on Intelligent Systems and Informatics (SISY)
79. Accurate classification of socially generated medical discourse
    Rana Othman Alnashwan, Humphrey Sorensen, Adrian P. O'Riordan, Cathal Hoare · 2018 · International Journal of Data Science and Analytics
80. Assessing COVID-19 Impacts on College Students via Automated Processing of Free-form Text
    Ravi S. Sharma, Sri Divya Pagadala, Pratool Bharti, Sriram Chellappan, Trine Schmidt, Raj Goyal · 2021 · International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)
81. A Text Analytics Framework for Performance Assessment and Weakness Detection From Online Reviews
    Amit Kumar Singh, Mamata Jenamani, Jitesh J. Thakkar, Yogesh Kumar Dwivedi · 2022 · Journal of Global Information Management
82. MS-TR: A Morphologically enriched sentiment Treebank and recursive deep models for compositional semantics in Turkish
    Sultan Zeybek, Ebubekir Koç, Aydın Seçer · 2021 · Cogent Engineering
83. Opinionated Text Classification For Hindi Tweets Using Deep Learning
    C. Sindhu, Shilpi Adak, Soumya Celina Tigga · 2021 · International Conference on Computing Methodologies and Communication (ICCMC)
84. Ecotourism Recommendations based on Sentiments Using Skyline Query and Apache-Spark
    Nouval Trezandy Lapatta · 2022 · Journal of Social Science
85. [Retracted] Using Social Media Data to Explore Urban Land Value and Sentiment Inequality: A Case Study of Xiamen, China
    Zhenyu Gai, Chenjing Fan, Shiguang Shen, Yanling Ge, Zhan Shi, Shiqi Li, Yiyang Zhang, Yirui Cao · 2022 · Wireless Communications and Mobile Computing · Retracted
86. User-based Hierarchical Network of Sina Weibo Emotion Analysis
    Qian Chen, Xiao Na Sun, Jiamin Wang, Meng Wang · 2023 · ACM Transactions on Asian and Low-Resource Language Information Processing
87. Transition due to preferential cluster growth of collective emotions in online communities
    Anna Chmiel, Janusz A. Hołyst · 2013 · Physical Review E
88. Continuous risk monitoring and assessment
    Daehyun Moon · 2016
89. A hybrid optimal weighting scheme and machine learning for rendering sentiments in tweets
    Walid Cherif, Abdellah Madani, Mohamed Kissi · 2016 · International Journal of Intelligent Engineering Informatics
90. UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets
    Pavel Přibáň, Tomáš Hercig, Ladislav Lenc · 2018 · International Workshop on Semantic Evaluation (SemEval)
91. Spatiotemporal Analysis on Sentiments and Retweet Patterns of Tweets for Disasters
    Sijing Chen, Jin Mao, Gang Li · 2019 · Lecture notes in computer science
92. Any Publicity is Good Publicity: Positive, Negative and Neutral Tweets Can All Become Trends
    Marco A. Palomino, Aditya Padmanabhan Varma · 2020 · International Conference of the Chilean Computer Science Society (SCCC)
93. Polarity in the Classroom: A Case Study Leveraging Peer Sentiment Toward Scalable Assessment
    Zachariah Beasley, Les A. Piegl, Paul Rosen · 2021 · IEEE Transactions on Learning Technologies
94. Multilabel Emotion Tagging for Domain-Specific Texts
    Samuel W. K. Chan · 2021 · IEEE Transactions on Computational Social Systems
95. On smoothing and scaling language model for sentiment based information retrieval
    Fatma Najar, Nizar Bouguila · 2022 · Advances in Data Analysis and Classification
96. Analisis Sentiment Kuliah Daring Di Media Sosial Twitter Selama Pandemi Covid-19 Menggunakan Algoritma Sentistrength
    Reza Wahyu Hardian, Pradita Eko Prasetyo Utomo, Ulfa Khaira, Tri Suratno · 2021 · MALCOM Indonesian Journal of Machine Learning and Computer Science
97. Fusion Pre-trained Emoji Feature Enhancement for Sentiment Analysis
    Jie Chen, Zhiqiang Yao, Shu Guo Zhao, Yanping Zhang · 2022 · ACM Transactions on Asian and Low-Resource Language Information Processing
98. Twitter discussions on breastfeeding during the COVID-19 pandemic
    Jawahar Jagarapu, Marlon I. Diaz, Christoph Ulrich Lehmann, Richard J Medford · 2023 · International Breastfeeding Journal
99. Opinion leaders on sporting events for country branding
    Natalia Vila López, Inés Küster Boluda · 2024 · Journal Of Vacation Marketing
100. Twitter based analysis of public, fine-grained emotional reactions to significant events
     Martin D. Sykora, Tom Jackson, Ann O’Brien, Suzanne Elayan, Alexander von Lünen · 2014 · Loughborough University Institutional Repository (Loughborough University)