Data
150K-Lyrics-Labeled-with-Spotify-Valence

150K-Lyrics-Labeled-with-Spotify-Valence

active ARFF CC BY-SA 4.0 Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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Context Based on 250K lyrics database. Created to perform Supervised NLP sentiment analysis task using Spotify valence audio feature, a measure of the positiveness of the song. Content Preparation of the dataset is explained in this notebook. Acknowledgements Thank you Nikita Detkov and Ilya for making the great 250K Lyrics1.csv file that I used for this data set. Thank you Madeline Zhang for the commented Spotify access example code and Spotify for the detailed Developers Spotify API. Inspiration Analysis of lyrics in relation to other song audio features.

5 features

Unnamed:_0numeric158353 unique values
0 missing
artiststring14691 unique values
0 missing
seqstring135638 unique values
0 missing
songstring99020 unique values
2 missing
labelnumeric1746 unique values
0 missing

19 properties

158353
Number of instances (rows) of the dataset.
5
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
2
Number of missing values in the dataset.
2
Number of instances with at least one value missing.
2
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
40
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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