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User_​lyrics_​analysis

GRAPH RELATIONSHIPBETWEENS VARIABLES- Calculate linear correlation and groupcorrelation matrix- The component group data by topicsand graph customer engagement andsentiments in terms of genres. - Stacked charts graph compressibilityin terms of topic distribution. Perform sentiment analysis on songsusing the weight dictionaryreceive Pleasant, Arousal and Imagery DATA PREPARATION- Processing data for text mining TOPIC EXTRACTIONThe perplexity of our K optimizationindicates that we should choose only 1topic for classifying our lyrics.However this might not be so fit forinterpretation and our purpose of storytelling. - We create a variable calledCompressibility to measure lyricalsimplicity- The compressibility of 1 is given to asong that is completely instrumental (nolyrics) Node 141Node 142Lyrical simplicityScraping lyricsand process dataScatter plotof compresibilityby songsSentiment per songGroup by songsGet means of all terms per songRelationship betweenvariablesCorrelation matrixCompressibilityin term of topic distributionNode 420Node 423 Preprocessing Document Creator Compressibility Data Preparation Scatter Plot GroupBy Linear Correlation Heatmap Sentiment_Analysis_withweight Color Manager Stacked Area Chart Relevant charts Optimizing K_Cluster(2:80) (1:10) Optimal K = 2 Join andtransform data GRAPH RELATIONSHIPBETWEENS VARIABLES- Calculate linear correlation and groupcorrelation matrix- The component group data by topicsand graph customer engagement andsentiments in terms of genres. - Stacked charts graph compressibilityin terms of topic distribution. Perform sentiment analysis on songsusing the weight dictionaryreceive Pleasant, Arousal and Imagery DATA PREPARATION- Processing data for text mining TOPIC EXTRACTIONThe perplexity of our K optimizationindicates that we should choose only 1topic for classifying our lyrics.However this might not be so fit forinterpretation and our purpose of storytelling. - We create a variable calledCompressibility to measure lyricalsimplicity- The compressibility of 1 is given to asong that is completely instrumental (nolyrics) Node 141Node 142Lyrical simplicityScraping lyricsand process dataScatter plotof compresibilityby songsSentiment per songGroup by songsGet means of all terms per songRelationship betweenvariablesCorrelation matrixCompressibilityin term of topic distributionNode 420Node 423 Preprocessing Document Creator Compressibility Data Preparation Scatter Plot GroupBy Linear Correlation Heatmap Sentiment_Analysis_withweight Color Manager Stacked Area Chart Relevant charts Optimizing K_Cluster(2:80) (1:10) Optimal K = 2 Join andtransform data

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