Aditi Saxena’s scientific contributions

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Publications (1)


Election Result Prediction Using Twitter Sentiments Analysis
  • Conference Paper

November 2020

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283 Reads

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21 Citations

Payal Khurana Batra

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Aditi Saxena

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Shruti

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Chaitanya Goel

Citations (1)


... 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). ...

Reference:

Large language models (LLM) in computational social science: prospects, current state, and challenges
Election Result Prediction Using Twitter Sentiments Analysis
  • Citing Conference Paper
  • November 2020