Objective of this research project NGO Helpers is to develop a framework for various NGOs. NGO Helpers recommend relevant users or interested users to NGO. After very deep analysis of user tweets user gets classified either as relevant user or irrelevant user and recommended to NGO working in that domain(e.g: Child Welfare, Women Welfare, Old Age, Animal Welfare,Healthcare).

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
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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
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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
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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.
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6. Methodology
Data Collection
Data Cleaning
Analysis
Results
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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
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Data Collection

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

10. Methodology Cont..
Data Collection
Data Cleaning
Analysis
Results
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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
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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
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Analysis

14. Methodology Cont..
Analysis(2)
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15. Methodology Cont..
Data Collection
Data Cleaning
Analysis
Results
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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
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20. Demonstration: Authorization
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21. Demonstration: choose Your work domain
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22. Demonstration: Recommended Users
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23. ONLINESOCIAL MEDIA DEVELOPER’SPERSPECTIVEIGDTUW