setiment analysis python

Sentiment-Analysis using ML in Flask

Team name: Dark Coders

Team members

• Vijay Prajapati - [email protected]
• Om Jadhav - [email protected]
• Hasnain Sayyed - [email protected]

Description

• Because technology is constantly being updated, Social Media serves as a platform for these updates to reach a large audience.
• But as the technology makes solutions it also keeps on creating a new problem so if a comment is being released on a post we cant judge the sentiments of the comments by just reading it sometimes!
• So we have created a solution in the form web app where user just have to copy and paste the comment and the app would give an analysis of the comment.

Links

• GitHub Repo link: Link to repository
• Video Demo link: Link to demo

Technology stack

Tools and technologies that you learnt and used in the project.

1. Python Flask
2. NLTK
3. HTML, CSS, JS

Project Setup

• For this project, you will have to install latest version of Pycharm.

• The steps to do so are:

  Open Pycharm -> Configure the pycharm with python -> click on install button at the top to download all dependency -> click on run.

Usage

• User have to copy the comment of his/her post.
• User should visit to our website and paste the comment in the box.
• After Clicking on Submit user would be displayed a report of analysis on the screen.

Future scope

• Connecting to user's social media accounts directly and display analysis of the comments by fetching it from respective posts.

Screenshots

Home Page	Positive Comment	Negative Comment	Neutral comment