WEB-APP---Emotion-analyzer-of-text

Emotion Analyzer WEB APP

Requirements: -

• Anaconda Environment with Spyder IDE and Jupyter Notebook
• Modules like Sreamlit Numpy Pandas Sklearn Seaborn Joblib Neattext Altair
• if above modules are not installed then install by pip command of the following package

Outputs

Project Architecture

Method of preparation of Model

• 1st we need to collect dataset and load it as CSV file
• Then we need to create a ML model which will involve following this:-
• analyzing data
• cleaning up by removing unimportant characters like numbers special symbols stop words user handels etc.
• Using LINEAR REGRESSION - labeling fitting splitting training and testing our pipeline.
• Examining accuracy of our model by giving random texts for prediction.
• Finalizing our model and saving it.

Preparation of frontend of web app

• load the model we have createb by giving out absolute path
• Define title
• Drop down menu for eg - about , home
• Eembedding area for text input , bar graph presentation and prediction probablity
• defining exceptions for garbage inputs; for eg providing only numbers or giving more than one space etc , which may cause irrelevant predictions.

The End!