Sentiment Analysis of Twitter Tweets to Identify the Negativity Factors
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Abstract
An ample amount of data is being daily generated on Twitter where people express their sentiment and emotions. Analyzing those sentiments using NLP (Natural Language Processing) techniques would help the individuals and organizations to scientifically process the prevailing sentiment. The growing negativity on social media has compelled the researchers to innovate a scientific method to analyze the user sentiment.This paper is using approaches of sentiment analysis by applying different methods and algorithms. 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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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Pakistan Journal Emerging Science and Technologies (PJEST) in collaboration with Govt. Islamia Graduate College Civil Lines Lahore, Pakistan is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
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