Deep Learning-Based Sentiment Analysis of Bank Reviews Using Python

• Python
• Data Mining

In present lifestyle banks are facing lots of problems with their customers like bad loans, customer dissatisfaction etc, and also huge competition in day to day life, due to these factors so many small sector banks are closed permanently and merged to a large sector banks. In order to make it a profitable it is very much important to analyze the mindset of customers about their bank frequently. The bank must consistently analyze their customer?s feelings by gaining feedback from their customers asking to fill some forms like feedback, review, compliment forms etc. In order to achieve the positive result to lead the bank in profitable side, it is very important to analyze huge number of data (feedback) given by their customer and it is very huge problem by the humans because human can make some human errors while analyzing large data to overcome this error it is better to feed the data to a machine learning algorithm, and once the data is trained with high accuracy it is better to analyze the customers feedback better than human. In order to achieve this with the help of machine learning we have introduced a positive approach with satisfying accuracy.