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SENTIMENT ANALYSIS OF TWITTER TWEETS TO IDENTIFY THE NEGATIVITY FACTORS

Authors: Chandio, Bilal Ahmed; Aimal, Muhammad; Maheen Bakhtyar; Junaid Babar; Maheen Afzal;

SENTIMENT ANALYSIS OF TWITTER TWEETS TO IDENTIFY THE NEGATIVITY FACTORS

Abstract

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Our proposed method is based on logistic regression to classify the intensities towards the emotions extracted from tweets. The dataset collected from twitter is narrowed down to twitter Pakistan tweets and then trained our model on the training dataset and later tested the model on testing dataset where different accuracies are experimented by logistic regression algorithm.

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Keywords

Classification, Sentiment Analysis, Logistic Regression, BOW (bag of words), NLP, intensities, emotions

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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