Tweet sentiment analysis with classifier ensembles

Cited by (431)

Items 301–400 of 431

1. Emotion Classification of Duterte Administration Tweets Using Hybrid Approach
   Randell Gimenez, Melvin Gaviola, Mary Jane G. Sabellano, Ken Gorro · 2017 · International Conference on Software and e-Business (ICSEB)
2. The Emotions of the Outbreak. Topics, Sentiments and Politics on Twitter During Chilean October
   Jarnishs Beltrán, René Jara, Antoine Faure · 2021 · Smart innovation, systems and technologies
3. Opinion Mining-Based Term Extraction Sentiment Classification Modeling
   Tae-Yeun Kim, Hyoung Ju Kim · 2022 · Mobile Information Systems
4. Emoticon Prediction on Textual Data Using Stacked LSTM Model
   Mamta Mittal, Maanak Arora, Tushar Pandey · 2020 · Lecture notes in networks and systems
5. Sentiment analysis via fractal dimension
   Symeon Symeonidis · 2015 · Electronic workshops in computing
6. Monitoring rare categories in sentiment and opinion analysis: a Milan mega event on Twitter platform
   Anna Calissano, Simone Vantini, Marika Arena · 2019 · Statistical Methods & Applications
7. NSE-PSO: Toward an Effective Model using Optimization Algorithm and Sampling Methods for Text Classification
   Razieh Asgarnezhad, Amirhassan Monadjemi, Mohammadreza Soltanaghaei · 2020 · DOAJ (DOAJ: Directory of Open Access Journals)
8. Emotional Tweets Analysis on Social Media with Short Text Classification Using Various Machine Learning Techniques
   S. Rahamat Basha, M. Surya Bhupal Rao, P. Kiran Kumar Reddy, G. Ravi Kumar · 2020 · Journal of Computational and Theoretical Nanoscience
9. Twitter sentiment analysis: An estimation of the trends in tourism after the outbreak of the Covid-19 pandemic
   Garima Malik, Dharmendra Singh · 2023 · European journal of tourism, hospitality and recreation
10. Recognizing emotions in chinese text using dictionary and ensemble of classifiers
    Yanyong Ai, Ying Pang, Zhenxiang Chen, Shanshan Wang · 2018 · International Workshop on Pattern Recognition (IWPR)
11. An Approach to Detect Sarcasm in Tweets
    Jyoti Godara, Rajni Aron · 2021 · Lecture notes on data engineering and communications technologies
12. How digitalization is perceived from Moroccan students: A Sentiment analysis study
    Soukaina Mihi, Brahim Ait Ben Ali, Ismail El Bazi, Sara Arezki, Nabil Laachfoubi · 2020 · International Conference on Intelligent Computing in Data Sciences (ICDS)
13. Topic Modelling Twitterati Sentiments using Latent Dirichlet Allocation during Demonetization
    Harshvardhan GM, Mahendra Kumar Gourisaria, Aanchal Sahu, Siddharth Swarup Rautaray, Manjusha Pandey · 2021 · International Conference on Computing for Sustainable Global Development
14. Social Media Anatomy of Text and Emoji in Expressions
    Shelley Gupta, Ojas Garg, Radhika Mehrotra, Archana Singh · 2021 · Smart innovation, systems and technologies
15. Intelligent Models for Mining Social Media Data
    Sanaa Elyassami, Sultan Albloushi, Mohamed Ammar Alnuaimi, Omran Alhosani, Hassan Al Ali, Khalid Almarashda · 2021 · Advances in intelligent systems and computing
16. Towards a Multi-Entity Aspect-Based Sentiment Analysis for Characterizing Directed Social Regard in Online Messaging
    Joan Zheng, Scott Friedman, Sonja Schmer-Galunder, Ian Magnusson, Ruta Wheelock, Jeremy Gottlieb, Diana Gómez, Christopher A. Miller · 2022 · Workshop on Online Abuse and Harms (WOAH)
17. Performance comparison of classifiers on twitter sentimental analysis
    Shruti Wadhwa, Karuna Babber · 2021 · European Journal of Engineering Science and Technology
18. An Ensemble Approach for Aspect-Level Sentiment Classification Using Deep Learning Methods
    Tanu Sharma, Kamaldeep Kaur · 2023 · Lecture notes in networks and systems
19. Online analysis of sentiment on Twitter
    Shokoufeh Salem Minab, Mehrdad Jalali, Mohammad Hossein Moattar · 2015 · International Congress on Technology, Communication and Knowledge
20. Inducing honest reporting of private information in the presence of social projection.
    Arthur Carvalho, Stanko Dimitrov, Kate S. Larson · 2016 · Decision
21. Exploring the Ensemble of Classifiers for Sentimental Analysis
    Ali Athar, Wasi Haider Butt, Muhammad Waseem Anwar, Muhammad Latif, Farooque Azam · 2017 · International Conference on Machine Learning and Computing (ICMLC)
22. Feature Hashing for Language and Dialect Identification
    Shervin Malmasi, Mark Dras · 2017 · Proceedings of the conference - Association for Computational Linguistics. Meeting
23. RAPID PSO BASED FEATURES SELECTION FOR CLASSIFICATION
    Surendra Kumar · 2017 · International Journal of Advanced Research in Computer Science
24. #TeamINF at SemEval-2018 Task 2: Emoji Prediction in Tweets
    Alison Ribeiro, Nádia Silva · 2018 · International Workshop on Semantic Evaluation (SemEval)
25. A Review on Sentiment Classification: Natural Language Understanding
    Srishty Jindal, Kamlesh Sharma · 2018 · Recent Patents on Engineering
26. A Multi-filter BiLSTM-CNN Architecture for Vietnamese Sentiment Analysis
    Lac Si Le, Dang Van Thin, Ngan Luu-Thuy Nguyen, Son Trinh · 2020 · Communications in computer and information science
27. Análise de sentimentos em textos curtos provenientes de redes sociais
    Nádia Félix Felipe da Silva · 2016 · Digital Library of Theses and Dissertations (Universidade de São Paulo)
28. Retail Customer and Market Proclivity Assessment using Historical data and Social Media Analytics
    Archika Sharma · 2020
29. Fine-Tuning EfficientNetB3 for Binary Sentiment Classification: Insights into Happiness and Sadness
    Vishnu Kant · 2024 · International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS)
30. Sentiment Analysis on Climate Change: An empirical approach
    S Rethika, Maanasa Rajaraman, S. Kannimuthu, P. M. Arunkumar · 2024 · International Conference on Emerging Research in Computational Science (ICERCS)
31. Feature selection methods in sentiment analaysis
    Oğuz Kaynar, Halil Arslan, Yasin Görmez, Ferhan Demirkoparan · 2017 · International Artificial Intelligence and Data Processing Symposium (IDAP)
32. Sentiment Analysis Classifiers for Polarity Detection in Social Media Text: A Comparative Study
    Santhiya Pandiyan, Shanmuga Vadivel Kogilavani, Subramaniam Malliga · 2021 · International Conference on Electronics, Communication and Aerospace Technology (ICECA)
33. Tweet2Vec model to detect misinformation about the COVID-19 Pandemic on Twitter
    Samirit Saha, Sarada Jayan, Subramani R · 2022 · International Conference on Electronics and Renewable Systems (ICEARS)
34. Analyzing Public’s Reaction towards Black Lives Matter Campaign using Machine learning-based Approach through Spark
    Rio Rizki Aryanto, Dhomas Hatta Fudholi · 2021 · IOP Conference Series Materials Science and Engineering
35. Sentiment analysis technique: A look into support vector machine and naive bayes
    Wandeep Kaur, B. Vimala · 2016
36. Sentence Modeling with Deep Neural Architecture using Lexicon and Character Attention Mechanism for Sentiment Classification
    Ha-Thanh Nguyen, Le-Minh Nguyen · 2017 · International Joint Conference on Natural Language Processing
37. PickleTeam! at SemEval-2018 Task 2: English and Spanish Emoji Prediction from Tweets
    Daphne Groot, Rémon Kruizinga, Hennie Veldthuis, S.J. de Wit, Hessel Haagsma · 2018 · International Workshop on Semantic Evaluation (SemEval)
38. Context Sensitive Sentiment Analysis of Financial Tweets: A New Dictionary
    Narges Tabari, Mirsad Hadžikadić · 2018 · Studies in big data
39. Enhanced Framework for Sentiment Analysis in Text using Distance based Classification Scheme
    Sujay Angadi, Raghavendra Reddy · 2018 · International Conference on Advances in Electronics Computers and Communications
40. A practical application for sentiment analysis on social media textual data
    Colton Aarts, Fan Jiang, Liang Chen · 2020 · International Database Engineering and Applications Symposium (IDEAS)
41. Analysing fake news titles for 2016 Trump-Hillary campaign using contextual-based approaches in text analytics
    Azwa Abdul Aziz, Andrew J. Starkey · 2020 · International Journal of Engineering Trends and Technology
42. Sentiment Classification Using a Sense Enriched Lexicon-based Approach
    Anima Srivastava, Amit Srivastava, Tanveer Jahan Siddiqui · 2023 · International Journal on Recent and Innovation Trends in Computing and Communication
43. Arabic Lexicon Learning to Analyze Sentiment in Microblogs
    Mahmoud Rokaya, Ahmed S., Mahmoud B., Ahmed S. · 2019 · International Journal of Advanced Computer Science and Applications
44. TweetsDaily: Categorised News from Twitter
    Divya Gupta, Aditi Sharma, Mukesh Kumar · 2020 · Algorithms for intelligent systems
45. A Novel Way to Build Stock Market Sentiment Lexicon
    Yangcheng Liu, Fawaz E. Alsaadi · 2020 · Communications in computer and information science
46. E-learning services: Insights from Twitter Analytics
    P. Vanitha, Sreejith Alathur · 2019 · International Conference on Advances in Computing and Communication Engineering
47. A Novel Hybrid Algorithm for Sentiment Analysis via Classifier Ensembles for Online Shops User Using User Generated Contents and Review
    Fereshteh Ghorbanian, Mehrdad Jalali · 2020 · International Conference on Computing and Artificial Intelligence (ICCAI)
48. A New Ensemble Method for Classifying Sentiments of COVID-19-Related Tweets
    Meng Hsiu Tsai, Yingfeng Wang · 2020 · International Conference on Computational Science and Computational Intelligence (CSCI)
49. Identifying emotions in texts using the Emoxicon approach to compare right and left-leaning trolls on Twitter
    Tara L. Valladares, Hudson Fernandes Golino, James Arthur Coan · 2020
50. Sentiment Analysis Using Multinomial LR-LSTM Model
    Seema Rani, Jai Bhagwan, Sanjeev Kumar, Yogesh Chaba, Sunila Godara, Sumit Sindhu, Jaibhagwan Boora, Sanjeev Kumar, Yogesh Chaba, Sunila Godara, Amandeep Noliya, Sumit Sindhu · 2023 · Research Square
51. Uji Algoritma Stacking Ensemble Classifier pada Kemampuan Adaptasi Mahasiswa Baru dalam Pembelajaran Online
    Anastasia Kinanti Putri, Hari Suparwito · 2023 · KONSTELASI Konvergensi Teknologi dan Sistem Informasi
52. Análisis de sentimiento en Twitter en relación a la tecnología IA para generación de imágenes
    Antony Pyero Rosales Espinoza, Juan Carlos Gonzales Suarez · 2024 · Innovación y software
53. Geomatics Applications to Contemporary Social and Environmental Problems in Mexico
    José Luis Silván-Cárdenas, Rodrigo Tapia-McClung, Camilo Alberto Caudillo Cos, Pablo López-Ramírez, Oscar Sanchez-Sórdia, Daniela Moctezuma-Ochoa · 2016 · InTech eBooks
54. Evaluation of Supervised Classification Techniques on Twitter Data using R
    Annie Syrien, M. Hanumanthappa, Ravi Kumar K · 2021 · International Journal of Innovative Technology and Exploring Engineering
55. Performance Modeling of Classification Techniques on Movie Sentiments
    Pooja Rani, Jaswinder Singh · 2019 · International Journal of Engineering and Advanced Technology
56. Emotion Analysis of Social Media Based on CNN Bilstm
    2021 · Journal of Innovation and Social Science Research
57. Social Sentiment Analysis Using Features Based Intelligent Learning Techniques
    Prasannavenkatesan Theerthagiri · 2022 · Studies in big data
58. An Optimized System for Sentiment Analysis using Twitter Data
    Stuti Mehla, Sanjeev Kumar Rana · 2022 · BENTHAM SCIENCE PUBLISHERS eBooks
59. Long COVID Emotion Analyzer: Using Machine Learning Approach
    Kalaimagal Ramakrishnan, Vimala Balakrishnan, Gan Joo Han, Kee-Seong Ng · 2023 · Lecture notes in electrical engineering
60. Analyzing Public Sentiment Towards the Covid-19 Pandemic: A Twitter-Based Sentiment Analysis and Machine Learning Approach
    Andreas Kanavos, Νίκος Αντωνόπουλος, Alaa Mohasseb, Phivos Mylonas B · 2023 · International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)
61. Machine Learning Based Emotional Sentiment Analysis of Tweet Data Using a Voting Classifier
    G. Deepika, K. Deepthi Reddy · 2022 · International Journal of Computer Engineering in Research Trends
62. Retrieving Information from Social Media using Ontology
    Tengku Adil Tengku Izhar, Mohd Shamsul Mohd Shoid, Abdul Ismail Mohd Jawi, Trieu Minh Nhut Le · 2016 · International Journal of Academic Research in Business and Social Sciences
63. Esquemas de combinación de árboles de decisión como estrategia para la detección de anomalías
    Julio César Quintana-Zaez, Hector Raúl Velarde-Bedregal, Jarvin A. Antón-Vargas, Geronimo Joaquim-Luis · 2020 · LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI)
64. Twitter Sentimental Analysis
    Aditya Prakash · 2020 · International Journal for Modern Trends in Science and Technology
65. Profiling Hate Speech Spreaders on Twitter: Exploiting Textual Analysis of Tweets and Combination of Textual Representations.
    Cláudio Moisés Valiense de Andrade, Marcos André Gonçalves · 2021 · CLEF (Working Notes)
66. Using data mining techniques to extract students' attitudes toward e-learning
    Nabeel Zuhair Tawfeeq, Omar Ghanim Ghazal, Wisam Saeed Abed · 2022 · Indonesian Journal of Electrical Engineering and Computer Science
67. Use of Novel Ensemble Machine Learning Approach for Social Media Sentiment Analysis
    Ishrat Nazeer, Mamoon Ur Rashid, Sachin Kumar Gupta, Abhishek Kumar · 2022 · IGI Global eBooks
68. Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders
    Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek Abdelzaher · 2021 · arXiv (Cornell University)
69. An Open Access Dataset of Tweets related to Exoskeletons and 100 Research Questions
    Nirmalya Thakur, Chia Yung Han · 2021 · arXiv (Cornell University)
70. A COMPARISON OF SENTIMENTAL ANALYSIS ALGORITHMS ON TWITTER DATA USING MACHINE LEARNING
    Mohammed Hamza, Sawar Gupta · 2022
71. A COMPARISON OF SENTIMENTAL ANALYSIS ALGORITHMS ON TWITTER DATA USING MACHINE LEARNING
    Mohammed Hamza, Sawar Gupta · 2022
72. Using Sentiment Analysis to Explore the Association Between News and Housing Prices
    Hsiao-Fang Yang, Jia‐Lang Seng · 2017 · Lecture notes in computer science
73. Framework based ontology for heterogenous Big Data correlation in cloud infrastructure
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74. Detecting sentiment in Twitter data – challenges and implementation
    Joanna Michalak · 2016 · Torun Business Review
75. SentiT: A Semi Real Time System for Interpreting Sentiment in Twitter
    Dr.G.Krishna Kishore, Kambhampati Dheeraj · 2017 · IOSR Journal of Computer Engineering
76. Using Ontology for Goal-Based Query to Understand User Trends on Social Media: A Case of Twitter
    Tengku Adil Tengku Izhar, Trieu Minh Nhut Le, Ahmad A. Alzahrani · 2017 · International Journal for Infonomics
77. Investigating Opinion Mining Performance by Combining Feature Selection Methods with Word Embedding and BOW (Bag-of-Words)
    Kyun Sun Eo, Kun Chang Lee · 2019 · Journal of Digital Convergence
78. Microblog-Oriented Public "Mass Innovation and Entrepreneurship" Hotspot Identification and Sentiment Analysis and Policy Suggestions
    Lucheng Huang, Yunpeng Zhao, Chunwen Liu, Feifei Wu, Xiaoyü Li · 2018
79. Mapping Twitter Topic Network for Information Sharing using NodeXL
    Tengku Adil Tengku Izhar, Trieu Minh Nhut Le · 2018 · International Journal for Infonomics
80. Sentiment Analysis using Ensemble Classifier on Real Time Data Set
    Aman Goenka · 2020 · International Journal for Research in Applied Science and Engineering Technology
81. Semantic Sentiment Analysis Based on Probabilistic Graphical Models and Recurrent Neural Network
    Ukachi Osisiogu · 2020 · arXiv (Cornell University)
82. Location Based Sentiment Analysis Using PC3E—PNN Consensus Between Classification and Clustering Ensembles—Technique in Big Data Platform
    S. Pradeepa, K. R. Manjula · 2020 · Learning and analytics in intelligent systems
83. Aging Pipeline Infrastructure in the United States: How do a changing policy mix, issues of energy justice, and social media communication impact future risk analysis?
    Brent Burns · 2020
84. Emotion Detection on Twitter Textual Data
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85. A comprehensive topic-model based hybrid sentiment analysis system
    Yibing Yang · 2019 · Carleton University's Institutional Repository (MacOdrum Library, Carleton University)
86. A Probabilistic Deep Learning Approach for Twitter Sentiment Analysis
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87. Predictive Analysis of Ethereum Uncle Block using Ensemble Machine Learning Technique and Blockchain Information
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88. A Compendium of Classification Techniques, Tools and Evaluation Datasets for Twitter Sentiment Analysis
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93. Applications of Machine Learning in Mental Healthcare
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94. Interpretability Of The Perception Of Security Based On Tweets Content
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95. Prediksi Tweet Netizen Menggunakan Random Forest, Decision Tree, Naïve Bayes, dan Ensemble Algorithm
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96. Auditors Scan News Headlines? The Prophetic Vision for Going-Concern Opinions
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97. Systems Science of Bio-Navigation
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98. Análise de sentimento em tweets
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99. Novel Techniques in Sensory and Consumer Research Applied to Understand Gluten-Free Products Perception
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100. The Various Approaches for Sentiment Analysis: A Survey
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