The project is to utilize AWS Comprehend and Google Cloud Platform Natural Language Processing to detect the customers’ sentiments during the conversation with customer support in Twitter. By detecting the sentiments, we will have a better understanding of customers’ attitudes and improve the quality of customer support in Twitter. The text conversation data is from Kaggle.
Data set is from Kaggle Customer support on twitter: https://www.kaggle.com/thoughtvector/customer-support-on-twitter
Please refer to "Sentiment_Analysis" for detailed analysis report.