Curricular Project
Curricular Project
Curricular Project
Hit or Miss: A Visual Analytics tool for predicting the popularity of unrated music by region
Hit or Miss: A Visual Analytics tool for predicting the popularity of unrated music by region
Tulika Banerjee, Kanika Dhiman, Kaustubh Odak, Mohit Aggarwal, Shivam Agarwal, Vaishnavi Kulkari
Tulika Banerjee, Kanika Dhiman, Kaustubh Odak, Mohit Aggarwal, Shivam Agarwal, Vaishnavi Kulkari
Tulika Banerjee, Kanika Dhiman, Kaustubh Odak, Mohit Aggarwal, Shivam Agarwal, Vaishnavi Kulkari
CS 6242 Data Visual Analytics, Georgia Institute of Technology
CS 6242 Data Visual Analytics, Georgia Institute of Technology
CS 6242 Data Visual Analytics, Georgia Institute of Technology


Abstract
Can we predict the popularity of songs before they’re even released? Hit or Miss is a tool that combines visualization and machine learning to identify patterns and trends in music in order to predict the popularity of unrated songs by region. It uses interactive dashboards to display predictions with an 80% accuracy along with related insights.
Keywords
Visual analytics, machine learning, big data, music popularity prediction, choropleth
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Poster
Poster
Poster
The research poster summarizes our methodology, implementation and experimental study


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Related Projects
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©2023 Tulika Banerjee
©2023 Tulika Banerjee
©2023 Tulika Banerjee
Abstract
Can we predict the popularity of songs before they’re even released? Hit or Miss is a tool that combines visualization and machine learning to identify patterns and trends in music in order to predict the popularity of unrated songs by region. It uses interactive dashboards to display predictions with an 80% accuracy along with related insights.
Keywords
Visual analytics, machine learning, big data, music popularity prediction, choropleth
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Abstract
Reddit is one of the largest social networks today, boasting over a billion registered users and 430 million monthly users. One of the dominant reasons for its popularity is the existence of around 130,000 subreddits, each catering to different subgroups and interests. From hugely popular topics like r/gaming to those catering to more niche passions like r/lawnpopping (yes, this is a thing), one can say that an internet user will almost certainly find a subreddit that piques their interest. Oldenburg (1999) writes about the third place, a place that is “inclusively sociable, offering both the basis of community and the celebration of it.” In this paper we discuss r/AskWomen, a subreddit that we believe fits the criteria he lays out for a third place, including being a leveler and on neutral ground, and being accessible. The r/AskWomen subreddit is a community for asking and answering questions, created for the benefit of women. According to the description posted, it is “a subreddit dedicated to asking women questions about their thoughts, lives, and experiences; providing a place where all women can comfortably and candidly share their responses in a non-judgmental space” Being a thriving community with strict moderation, r/AskWomen makes for a great place to study the many nuances of gender, gender roles, and stereotypes, both practiced and perceived. In this paper, we use Amy Jo Kim’s “9 Timeless Principles For Building Community” to analyze r/AskWomen’s impact as a community and the role that its moderation plays in shaping it. We also present the perspectives of ten members of the community who agreed to interview with us and speak about their involvement in r/AskWomen.
Abstract
Can we predict the popularity of songs before they’re even released? Hit or Miss is a tool that combines visualization and machine learning to identify patterns and trends in music in order to predict the popularity of unrated songs by region. It uses interactive dashboards to display predictions with an 80% accuracy along with related insights.
Keywords
Visual analytics, machine learning, big data, music popularity prediction, choropleth


