Sentiment analysis of customer reviews has a crucial impact on a business's development strategy. because if our customers is not satisfied with our services, so may be we are doing something wrong. we need to listen what customer wants and improve our services based on their feedback. So, why not turn all that feedback into insights and learn how to improve both the customer experience and your business?
The purpose of this analysis is to build a prediction model to predict whether a review on the restaurant given by customers is positive or negative. This repository consists of files required to deploy a Machine Learning Web App created with Streamlit on Heroku platform.
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If you want to view the deployed model, click on the following link: https://sentiment-analysis-restaurant.herokuapp.com/
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If you are searching for Code, Algorithms used and Accuracy of the model Please Open "Sentiment Analysis of Restaurant Reviews.ipynb" file