November 2020
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283 Reads
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21 Citations
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November 2020
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283 Reads
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21 Citations
... Their empirical findings revealed that Maximum Entropy and the N-Gram Language Model outperformed SVM and Naïve Bayes, achieving accuracies in the range of 65% to 77%. Similarly, Batra et al. (2020) used various machine learning algorithms on Tweets to predict election outcomes through sentiment analysis, and were able to achieve an accuracy of 86% with the decision tree classifier. Various studies have deep-dived into the sentiment of political communication in social media platforms (Haselmayer and Jenny 2017). ...
November 2020