Tweet sentiment analysis with classifier ensembles

da Silva, Nádia F.F., Hruschka, Eduardo R., Hruschka, Estevam R.·2014·Decision Support Systems

Cited by (431)

Items 101–200 of 431

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  19. Multi-feature fusion framework for sarcasm identification on twitter data: A machine learning based approach
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  22. Sarcasm detection of tweets: A comparative study
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  23. Semantic relational machine learning model for sentiment analysis using cascade feature selection and heterogeneous classifier ensemble
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  24. Using J-K fold Cross Validation to Reduce Variance When Tuning NLP Models
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  25. Language Independent Sentiment Analysis
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  26. DICE: Deep Intelligent Contextual Embedding for Twitter Sentiment Analysis
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  27. Using information retrieval for sentiment polarity prediction
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  30. ESG News Sentiment and Stock Price Reactions: A Comprehensive Investigation via BERT
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  32. Analysis of the relationship between Saudi twitter posts and the Saudi stock market
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  36. Sentiment Analysis with Tweets Behaviour in Twitter Streaming API
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  37. Evolutionary Multiobjective Feature Selection for Sentiment Analysis
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  38. Multiple weak supervision for short text classification
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  71. Twitter Sentiment Analysis using Machine Learning
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  72. Two simple and effective ensemble classifiers for Twitter sentiment analysis
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  73. Spatial analysis of Twitter sentiment and district-level housing prices
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  74. Heterogeneous classifier ensemble for sentiment analysis of Bengali and Hindi tweets
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  75. FBSEM: A Novel Feature-Based Stacked Ensemble Method for Sentiment Analysis
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  77. Twitter’da COVID-19 aşılarına karşı kamu duyarlılığının çoğunluk oylama sınıflandırıcısı temelli makine öğrenmesi ile duygu analizi
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  78. NSEM: Novel Stacked Ensemble Method for Sentiment Analysis
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  82. Sentence-level emotion mining based on combination of adaptive Meta-level features and sentence syntactic features
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  86. A Machine Learning Based Ensemble Method for Automatic Multiclass Classification of Decisions
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  87. Improving Sentiment Analysis Through Ensemble Learning of Meta-level Features.
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  89. Sentiment Analysis on Tweets Using Machine Learning and Combinatorial Fusion
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  91. Public Reaction to Scientific Research via Twitter Sentiment Prediction
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  92. Sentiment classification of micro‐blog comments based on Randomforest algorithm
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  93. A Multiple-Layer Machine Learning Architecture for Improved Accuracy in Sentiment Analysis
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  94. Sentiment Classification on Movie Reviews and Twitter: An Experimental Study of Supervised Learning Models
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  96. Airlines based Twitter Sentiment Analysis Using Deep Learning
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  97. Sentiment Analysis for Social Media using SVM Classifier of Machine Learning
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