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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 6, 2024.
Abstract: Natsukashii offers a delightful platform for users to seamlessly connect with their Spotify accounts and delve into cherished musical moments, fostering a profound emotional connection with their recent experiences. This platform harnesses the power of Spotify's data, facilitating a secure connection to users' accounts while ensuring that no Spotify data is stored locally. Its array of features includes captivating data visualizations, such as display cards, radar charts, and area charts, elegantly showcasing both recent favorites and top-listened tunes. However, the crowning jewel of Natsukashii lies in its ability to provide users with a heartfelt insight into their current mood, derived from the audio features of their recent playlist selections. By meticulously preparing and analyzing the audio features provided by Spotify, Natsukashii delivers a personalized sentiment analysis, offering users a poignant glimpse into their emotional state through the lens of their musical preferences. Moreover, this enriching experience is seamlessly accessible across desktop and mobile platforms, compatible with popular web browsers like Google Chrome, Firefox, and Microsoft Edge.
Khor Zhen Win and Mafas Raheem, “Natsukashii: A Sentiment Emotion Analytics Based on Recent Music Choice on Spotify” International Journal of Advanced Computer Science and Applications(IJACSA), 15(6), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150638
@article{Win2024,
title = {Natsukashii: A Sentiment Emotion Analytics Based on Recent Music Choice on Spotify},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150638},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150638},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {6},
author = {Khor Zhen Win and Mafas Raheem}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.