CSE 255: Assignment 1 - Exploring Musical Tagging

نویسنده

  • Hannah Chen
چکیده

We explore two predictive tasks: (i) a measure of tag probability, and (ii) identifying a minimum tag set for more meaningful music classification on a 100,000 song dataset joined across complementary databases from the 1 Million Song Dataset (“MSD”). We conclude that a tag set size of around 50 tags is most meaningful and report many of our findings/analysis based on the top 50 tags. Using linear regression to predict tag probability results in roughly a 5% incorrect tag prediction for the top 50 tags.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

CSE 255 Assignment 1: Helpfulness in Amazon Reviews

In this paper we consider models for predicting the helpfulness rating of Amazon book reviews. We examine features such as the review’s star rating, the length of the review text, the readability of the review text, and the amount of comparisons made in the review. We compare Support Vector Machine and Random Forests models both for regression and classification.

متن کامل

CSE 255 Assignment 2 Cuisine Prediction/Classification based on ingredients

In this paper, we consider different strategies for identifying the cuisine, given its ingredients. This project aims to explore what combination of ingredients is helpful in identifying a cuisine if the recipe is not given. This has been tackled as a problem of cuisine classification. We also explore different classification algorithms in tandem with approaches like taking combination of multi...

متن کامل

CSE 255 Assignment 2 : Upvotes Prediction for Reddit Submissions

In this paper we consider models for predicting the number of upvotes on a reddit submission. We examine features such as the number of votes, number of comments, time of submission, upvote history of users, images, and subreddits of the submission. We compare Support Vector Regression, Linear Regression, and Gradient Boosting Regression models for predicting the number of upvotes.

متن کامل

Exploring how musical rhythm entrains brain activity with electroencephalogram frequency-tagging.

The ability to perceive a regular beat in music and synchronize to this beat is a widespread human skill. Fundamental to musical behaviour, beat and meter refer to the perception of periodicities while listening to musical rhythms and often involve spontaneous entrainment to move on these periodicities. Here, we present a novel experimental approach inspired by the frequency-tagging approach to...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015