Understanding Human Feelings by the help of an Artificially Intellegent Analysis Process
Creation of an Website Interface to get the Analysis on the Sentiments of a Customer Product with the help of Machine Learning and Natural Language Processing.
- Apply data-cleaning tachtics for conversion of a large dataset ending up in a Comma Separated File (CSV).
- Now, read the CSV file and by applications of Bag of Words Model train a model to Analyze the review and provide result.
- Save that created model into a Pickle file.
- Scrap the reviews of a product from a website named Etsy and test the model on those scrapped reviews by saving them in a database.
- Create a Web Interface using a python library Dash to integrate the pickle file and scrapped reviews to display the results of model.