Created a dataset by Web scraping and Built a Sentimental analysis model to determine the nature of quotes. Developed a Dynamic web page using Flask, HTML, JavaScript and deployed the ML model using AWS(or in this Case Flask)
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quote-sentiment_machine's Introduction
Quote-Sentiment_machine
Created a dataset by Web scraping and Built a Sentimental analysis model to determine the nature of quotes. Developed a Dynamic web page using Flask, HTML, JavaScript and deployed the ML model using AWS(or in this Case Flask to make entirely open source for other users)
Code - FLask_app.py
Dataset - Quotes.csv
qoutes.html - HTML code to deploy the application
.png - The images used in the UI(User Interface) to beautify the application. All these images are free for anyone to use.