Created on 30th January 2022
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We have done a sentiment analyzing model where it takes the text input and returns whether it is a positive or a negative review. The classification model used is Gaussian Naïve Bayes. We created a separate web page with a user interface where the text could be pasted and the result of analysis will be given to the user. This model can be used by business companies where they intend to know about the customer review product sentiment in customer feedback, and understand customer needs.
This is our first hackathon, we had some issues with the normal going and experiences. We faced some issues while fitting the model and also in the deployment part. We used flask and was encountered some errors.