Sentiment Analysis Using Machine Learning and Natural Language Processing

Conference paper > Full Text · 2024

Authors: Emircan Doğan, Selenay Balkancı, Ecenaz Çırakoğlu, Erdem Altun, Elif KOZAN

8. International Students Science Congress, Türkiye, İzmir, International, Verbal, Full Text, 2024-2024, pp 1-2

Summary

<p>&nbsp;The study aims to design a system using natural language processing (NLP) methods from machine learning for sentiment analysis via Twitter. This system will classify comments from customers who have used airline services, to analyze and categorize their sentiments. By analyzing the comments of customers who have used airline services, the aim is to improve the experiences of both customers and companies. The selected tweets will be classified as positive, negative, or neutral, and sentiment analysis will be conducted based on the results. Additionally, efforts will be made to predict which department within a company a comment is related to. Data will be obtained from the social media platform Twitter, and a sentiment analysis report will be produced using NLP. The Twitter API will be used for the application, leveraging Python libraries that utilize NLP methods.</p><p><br></p>

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