International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Automated Emotion Analysis on Twitter Using Machine Learning and Deep Learning

Rahul BagalStudent, Computer Engineering, Siddhant College of Engineering, Pune, Maharashtra, IndiaAditya GendStudent, Computer Engineering, Siddhant College of Engineering, Pune, Maharashtra, IndiaJalindar GaikwadStudent, Computer Engineering, Siddhant College of Engineering, Pune, Maharashtra, IndiaSakshi GhatageStudent, Computer Engineering, Siddhant College of Engineering, Pune, Maharashtra, IndiaProf. Aparna ThakreProfessor, Siddhant College of Engineering, Pune, Maharashtra, India

Vol 7 No (2023): Volume 7, Special Issue of ICRTET- 2023 | Pages: 10-12

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 16-07-2023

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Abstract

Twitter has become a popular platform for expressing emotions and opinions. Emotion analysis can be useful in various fields such as marketing, politics, and healthcare. In this research paper, we propose an automated emotion analysis system using machine learning and deep learning techniques on Twitter data. We collect a large dataset of tweets and annotate them with six basic emotions: happy, sad, angry, surprised, disgusted, and fearful. We then preprocess the data by removing stop words and performing stemming. We extract features from the preprocessed data using techniques such as bag- of-words and TF-IDF. We experiment with several machine learning and deep learning algorithms and compare their performance. Our results show that deep learning algorithms such as LSTM and CNN outperform traditional machine learning algorithms such as SVM and Naive Bayes. Our proposed system achieves an accuracy of 80% in emotion classification, which is higher than the state-of-the-art methods.

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Citation of this Article

Rahul Bagal, Aditya Gend, Jalindar Gaikwad, Sakshi Ghatage, Prof. Aparna Thakre, “Automated Emotion Analysis on Twitter Using Machine Learning and Deep Learning” in proceeding of International Conference of Recent Trends in Engineering & Technology ICRTET - 2023, Organized by SCOE, Sudumbare, Pune, India, Published in IRJIET, Volume 7, Special issue of ICRTET-2023, pp 10-12, June 2023.

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