Element Blue

ELEMENT BLUEA NICHE CONTENT AGGREGATION AND

GENERATION PLATFORM

MENTOR

LALIT MOHAN GOYALAssistant Professor - Dept. Of Computer Science

IMS Engineering College

TEAM

RAHUL S VERMA

SATYAM GUPTA

SHIVANGI

INTRODUCTIONWHAT AND HOW?

INTRODUCTION

Element Blue is an Integrated Platform. It includes:

A Dashboard for authors/content marketers.

Dynamic front end for readers/consumers.

In browser Data Visualization.

Content Aggregation, Trend Analysis.

INTRODUCTION

We are using a open source technology stack to develop.

Dashboard : Django / Python [1][2]

Front End : HTML, CSS, JAVASCRIPT

Data Visualization : D3.js [3]

Hosting : Heroku, Amazon Web Services [4][5]

Data / Text Mining : Orange [6]

LITERATURE

REVIEWCASE STUDY AND BUSINESS MODEL

DIGITAL MARKETING TRENDS

According to India Brand Equity

Foundation by 2017 Indian

Advertising Industry will reach

$10 Bn Mark with 40% each of

TV and Print Media.[7]

Rest 20% will be contributed

from Digital Media.

DIGITAL MARKETING TRENDS

Some common Digital Marketing modes.

Social Media (Facebook, Twitter, Tumblr)

Youtube channels

Email Marketing

Blogging, RSS and News Feeds

Search Engine Optimization

SCOPE FOR ELEMENT BLUE

What we are addressing through this project is -

Social Media (Facebook, Twitter, Tumblr)

Youtube channels

Email Marketing

Blogging, RSS and News Feeds

Search Engine Optimization

PROSPECTIVE USERS

Micro, Small and Medium Enterprises

First Generation Entrepreneurs

Product bloggers

Trend Specialists

Content Marketers

Casual Bloggers

CURRENT ISSUES

Traditional marketing poses obstacles such as

High Expenses

Fundamentally It Broadcasts

No measures for effectiveness

No Tools to Project at Specific Demography

WHY DIGITAL MARKETING

Relatively Low Cost.

Content Driven Model.

No constraints like time slots or classifieds.

Customized according to demography serviced.

Access to performance assessment tools.

CORE SERVICESWHAT’S INSIDE?

CONTENT AGGREGATION

Content Aggregation is a prerequisite for Trend Analysis.

It is the most crucial stage for this Project.

There is practically Infinite data on web.

Aggregation Focuses on what’s Important.

It helps in Personalizing according to user’s Interests.

CONTENT AGGREGATION MODEL

Top terms

Starbucks

Topic

Coffee

Suggested Topics

Coffee

New Variant

Awesome

Coffee Bot

Starbucks

Suggested Sources

Starbucks

I<3Coffee

Input Aggregation

Recommendation

TREND ANALYSIS

Google trends for Coffee vs Tea in India ( Past 30 Days )

Google Trending Topics - August 23 - ( Sci-Tech )

Trend Analysis is an Important aspect of

this project. Trend analysis uses the data

on the web to separate what’s important

and what’s not.

Content Marketers can use Trend

Analysis to deliver content that matters.

Trend analysis also enable firms to

assess their performance and give a

solid metric to measure their web

presence.

DATA VISUALIZATION

Data Visualization helps in understanding

the statistics otherwise too arcane.

The heat map on the left is showing

Numbers of AADHAAR generated by UIDAI

districtwise.

The map was first geocoded using District

and then visualized as a heat map in

CartoDB, A tool for visualizing geodata.

0 22,115

CONTENT GENERATION

Content generation includes development of

an author’s dashboard.

Content generation is aided by data

visualization and trend analysis.

It will provide basic and advanced text editing

schemes.

Based on the input and resources provided

by the trend analyzer authors can work on

content relevant to their consumers.

On the left are some Dashboard examples.

PROBLEM FORMULATION

NEED AND SIGNIFICANCE

WHERE ARE WE NOW?

More people are starting their own ventures.

They need strong marketing efforts to survive.

But they lack the technological understanding required.

Expensive and vague traditional marketing mediums.

Sophisticated tools require highly skilled manpower,

which again costs higher.

TECHNOLOGICAL ISSUES

Enormous amount of data require large infrastructure to

store and analyze it.

Sources are often heterogenous posing problems in data

analysis.

Fast propagation and time sensitive data.

OUR SOLUTION

Reducing number of resources, rather than crawling up

the whole web, we will focus on top 10 sources to mine

data.

Clustering based on keywords at User- and Topic- level,

for example in a twitter sentiment analysis, retweet is an

efficient metric for Topic-level and mentions for User

level.[8]

Reducing computation overhead and retaining quality of

content delivered.

SIGNIFICANCE

Reduces the technical dependency of users.

Getting their consumers well informed about service or

product they offer.

Increasing the web presence and reach.

Unified platform to research, create and recreate visually.

METHODOLOGY

The Roadmap for Development and

Technology

DASHBOARD

We will start from dashboard, to be developed using Django

which is a Python Web Development Framework.

Django supports fast application development along with

security and scalability.

Django powered sites - Disqus, Pinterest, Instagram

DATA VISUALIZATION

Integrated in browser Data Visualization will be developed

using D3.js which is a data driven visualization library

written in JavaScript.

D3 brings data to life using HTML, SVG, and CSS.

Data-driven approach to DOM manipulation.

DATA / TEXT MINING

Orange is a Python-based, powerful and open source tool

for data mining.

It has components for machine learning, add-ons for

bioinformatics and text mining. It’s packed with features for

data analytics.

HOSTING AND DEPLOYMENT

In our final phase we will be deploying the application on

cloud preferably using Amazon Web Services or Heroku

given the excellent array of development features they both

provide.

Heroku is a cloud platform as a service where as AWS is a

cloud Infrastructure as a service.

THANK YOU

Anything you would like to ask?

References on next page.

REFERENCES

[1] Django Framework - https://www.djangoproject.com/

[2] Python - https://www.python.org/

[3] D3.js - http://d3js.org/

[4] Heroku - https://www.heroku.com/

[5] Amazon Web Services - https://aws.amazon.com/

[6] Orange - http://orange.biolab.si/

[7] IBBF - Advertising and Marketing Industry in India - India Brand Equity Foundation

[8] Multimedia Data Mining and Analytics: Disruptive Innovation - Aaron Baughman, Jiang Gao, Jia-Yu Pan, Valery A. Petrushin