Sentidatalyzer is a sentiment analyzer application that identifies the customer sentiment through the customer feedback and accordingly sends the input data to the output file for analytics to predict customer’s satisfaction behaviour .

• open the folder from file menu
• open new terminal and check python 3 version : python --version
• install flask and other modules: pip install module_name
• run the program: python app.py
• CTRL+click the link (Ex: http://127.0.0.1:5000/) received at the end of running the python file
• The output file opens in a new tab.

• navigate to analyze now in index.html to fill up customer feedback form and click submit
• sentiment analysis output is shown on the right side of display
• data entered by the user is appended on submit inside data.csv

• go to data.ipynb file and run all the cells.
• data outputs of analysis will be available in the python script file. Visualization outputs are written to respective plots images inside static/plots path and the model data output inside Output.csv file