The document discusses a project by IGDTUW exploring how NGOs can leverage online social media platforms, particularly Twitter, to connect with volunteers interested in areas such as child, women, and animal welfare, as well as health care. It outlines the methodology involving data collection, cleaning, and analysis to quantify user interests and match them with relevant NGO fields. The project aims to develop a framework that enables NGOs to identify and engage with potential supporters based on their social media activities.

1. NGO Helpers
PRESENTED BY: KEERTIKA GANGWAR(IGDTUW)
Work Domain: Child Welfare
Women Welfare
Animal Welfare
Old Age
Health Care

2. Overview
Background
Objective
Methodology
Results
Demonstration
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW

3. Background
 Social media platforms are increasingly
popular and widely used.
 It is a platform where people share their
thoughts and emotions.
 Online Social Media Platform used : Twitter
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW

4. Background cont.…
People share their concerns and feelings on social media
By analysis of their Online Social Activities an NGO can
connect with right set of people
We are providing a platform where a NGO can find and
connect with volunteers
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW

5. Objective
Propose a metric that quantifies
user interest.
Mapping user interests with
topic(the field in which NGO
work).
Develop a framework to enable
NGOs connect to OSM users.
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW

6. Methodology
Data Collection
Data Cleaning
Analysis
Results
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW

7. Methodology
Online Social Media Developer’s Perspective
Control Flow Diagram

8. Methodology Cont..
Identify Keywords
Expressing interests(eg:
animal, Child, Women old
age, Health care etc.)
Data collected using
Tweeter API
Extract pertinent
information from the data
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW
Data Collection

9. Methodology Cont..
Online Social Media Developer’s Perspective

10. Methodology Cont..
Data Collection
Data Cleaning
Analysis
Results
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW

11. Methodology Cont..
Cleaning user data using
new set of keywords
defined category wise.
5 broad categories are:
Child Welfare, Animal
Welfare, Women
Welfare, Old Age &
Health Care
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW
Data Cleaning

12. Methodology Cont..
Data Collection
Data Cleaning
Analysis
Results
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW

13. Methodology Cont..
Extracted relevant tweets
from user timeline
Calculated Interest Index of
each user
If it crosses previously
defined Minimum Interest
Index(MII)
Classify user as Relevant
user else Irrelevant user
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW
Analysis

14. Methodology Cont..
Analysis(2)
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW

15. Methodology Cont..
Data Collection
Data Cleaning
Analysis
Results
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW

16. Results: Who Analysis
Top 4 Relevant Users

17. Results: What Analysis
Top 4 Relevant Users

18. Results: Where Analysis
Fig-5 Figure Showing location of relevant users

19. Demonstration
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW

20. Demonstration: Authorization
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW

21. Demonstration: choose Your work domain
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW

22. Demonstration: Recommended Users
ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW

23. ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW