Paper Title :Charting Sentiments with Naive Bayes and Logistic Regression
Author :K.Rajendraprasad, J.Aashrith, N.L.Shivasai, K.Bhavyasri
Article Citation :K.Rajendraprasad ,J.Aashrith ,N.L.Shivasai ,K.Bhavyasri ,
(2024 ) " Charting Sentiments with Naive Bayes and Logistic Regression " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 82-91,
Volume-12,Issue-2
Abstract : The swift progress of web technology has not only amassed a vast reservoir of internet data but also triggered a
substantial surge in data generation. The internet has metamorphosed into one of the dynamic hubs for online education, idea
dissemination, as well as opinion-sharing. Notably, the widely utilized social networking platform Twitter is experiencing
considerable expansion, providing users with the ability to share viewpoints, participate in discussions spanning diverse
communities, and broadcast messages on a global scale.
The upswing in online engagement has sparked a significant curiosity in subjective analysis, particularly when it comes to
Twitter data. This research is committed to delving into sentiment analysis, focusing specifically on the realm of Twitter. It
aims to offer valuable insights into deciphering information within tweets, where opinions manifest in a highly unstructured
and diverse manner, spanning a spectrum from positivity to negativity, occasionally punctuated by neutrality expressions.
Within this document, we offer a comprehensive exploration and comparative assessment ofmodern approaches to opinion
mining. Employing a range of machine learning algorithms such as Naive Bayes and Logistic Regression, our investigation
plunges into the domain of Twitter data streams. We delve into overarchingchallenges and applications inherent in the realm
of subjectivity analysis over Twitter.
Keywords - OpinionMiningTechniquesand Metrics, Social Media Emotional Analysis
Type : Research paper
Published : Volume-12,Issue-2
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-20547
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Copyright: © Institute of Research and Journals
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Published on 2024-05-20 |
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