Shri Mata Vaishno Devi University, Katra, J&K

Presentation by:

Parbhat Puri (2012ECS17)

Atul Mishra (2012ECS37)

Project Guide:

Mr. Anuj Mahajan

Asst. Prof. SMVDU

Deep Insights about your life in Cyber space

with Sentiment Analysis API 

Problem 

Introduction

Phases of Project

The project consist of two phases:

• Web Platform for the user
• Sentiment  Analysis API and Visualization

Welcome to SocialNetX

Phase 1: Web Platform

• The user can create their account
• The user can link their twitter and google+ accounts 
• User can fetch their tweets and posts on request
• The user  can also set up automatic fetching of data.
• Web Platform is there to fetch and show the tweets and g+ posts of a user at a common place.
• Dashboard displays various visualizations related to sentiment analysis

User Authentication with Twitter

Phase 2: Data Analysis and visualization

• This phase is concerned with the analysis of data fetched by user in Web Platform.
• In initial phase sentiment analysis of the user activities on both platform i.e. twitter and g+ will be performed.
• The output will be represented as various user friendly graphs and charts.
• The analysis can be extended to further levels like emotion analysis. 

Technologies Used

• Python (programming lang.)
• Django (Web framework)
• Celery (scheduling task)
• PostgreSql (Database)
• NLTK (Natural Language Processing library)
• Scikit learn (Machine Learning library)
• D3 & C3 (Data  Visualization)

Platform Overview

Steps for Sentiment analysis 

Result

Future work and Improvements

• Including more social media platforms
• Adding more features to user dashboard and improving UI.
• Improving  Visualizations
• With data the possibilities are endless.

Project Demo

Thank You..