Sentiment analysis is one of the fastest-growing research areas in computer science, making it challenging to keep track of all the activities in the area. In our project, we aim to achieve our goal of accurately predicting a user's sentiment by analyzing the data provided in any of the four different methods. They are Document Analysis, Text Analysis, Product Analysis, and Audio Analysis. This project though currently in the initial stages of development, can be further applied to numerous domains that can be useful for society. This document provides a major perspective for the users to understand and take up the project as an Open source software and add on multiple features before releasing it to the market. Also, the document aids the developers in understanding the code and acts as a reference point for starting the project.
The complete development was achieved using the following technologies and it is recommended that the next set of developers who take up this project have these technologies installed and keep them running before proceeding further:
Although we have used HTML and CSS for the FrontEnd, the users can merge the backend logic with any of the front end frameworks they wish to use such as React, AngularJS, etc.
git clone <https://github.com/amit-99/SE_Project3.git>