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I am a machine learning beginner and decided to do sentiment analysis for tweets. I don't wanna use libraries like textblob etc but rather build my own model. I am using this dataset from Kaggle link

to train my model. So my doubt is that i wanna build a model that can give number from -1 to 1 where -1 being negative and 1 being positive. Since sentiment analyzer are mostly classifiers , so they just can predict between 0 to 1. Can MSE or RMSE be used since i want to label the values between -0.5 to 0.5 as Neutral. So is it possible? or can I use tanh activation as my last layer and MSE as loss function

  • yes you can but you will get better results if you use classification instead of regression for this kind of problems. – AhmadF Sep 21 '20 at 05:02
  • @AhmadF ok then i guess classification is it for better results –  Sep 21 '20 at 06:58

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