PCA in Rapidminer

jem810jem810 Member Posts: 2 Contributor I
edited November 2018 in Help

I would like to determine themes of a corpus of tweets using PCA. I created the process using the ff: read excel,nominal to numeric, PCA and connected the ports. There are no errors but I am not sure on how I can identify the hidden themes using PCA with the standard deviation, proportion of variance and cumulative variance. The proportion of variance ranges from 0-.001. I set the variance threshold at .95.

Can you please help me? Thank you

 

component std dev proportion of variance cumulative variance
PC 1 0.157 0.025 0.025
PC 2 0.137 0.019 0.045
PC 3 0.123 0.016 0.06
PC 4 0.118 0.014 0.075
PC 5 0.115 0.014 0.089
PC 6 0.112 0.013 0.101
PC 7 0.104 0.011 0.113
PC 8 0.1 0.01 0.123
PC 9 0.098 0.01 0.133
PC 10 0.097 0.01 0.143
PC 11 0.097 0.01 0.153
PC 12 0.093 0.009 0.161
PC 13 0.093 0.009 0.17
PC 14 0.092 0.009 0.179
PC 15 0.09 0.008 0.187
PC 16 0.089 0.008 0.196
PC 17 0.087 0.008 0.204
PC 18 0.087 0.008 0.211
PC 19 0.086 0.008 0.219
PC 20 0.084 0.007 0.226
PC 21 0.083 0.007 0.234
PC 22 0.082 0.007 0.241
PC 23 0.082 0.007 0.248
PC 24 0.081 0.007 0.254
PC 25 0.08 0.007 0.261
PC 26 0.08 0.007 0.268

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