City mood parameter detection based on Twitter conversation in Indonesia.

1. Mood Parameter Research Based on Twitter Conversation
Research by:For:

2. Method of Analysis
•Track twitter conversation that indicates mood of user,
exclude Retweet
* From 9 cities in Indonesia
1. Jabodetabek
2. Bandung
3. Surabaya
4. Yogyakarta
5. Semarang
6. Malang
7. Denpasar
8. Palembang
9. Medan
• Research Period 05/12/2011 – 29/01/2012. Devide into
4 time interval a day
Period 1 = 00:00:00 – 06:00:00 (real 00:00:00 – 05:59:59)
Period 2 = 06:00:00 – 12:00:00 (real 06:00:00 – 11:59:59)
Period 3 = 12:00:00 – 18:00:00 (real 12:00:00 – 17:59:59)
Period 4 = 18:00:00 – 00:00:00 (real 18:00:00 – 23:59:59)
* Analyze qualilatively from the social media data.
Research by:

3. General Scheme
Note:
Example of Bad Mood : Bete, Sebel, Kesel, Kecewa, Marah, Gak Semangat, Gak hepi etc
Example of Good Mood : Seneng, Gembira, Hepi, Gak bete, Semangat, Bahagia etc
Twitter
Good Mood
Crawler
Facebook
Good Mood
Crawler
Twitter
Bad Mood
Crawler
Facebook
Bad Mood
Crawler
Injected
Bad Mood & Good Mood
Keywords
Good
Mood
Data
Storage
Bad
Mood
Data
Storage
Aggregator
API
for
externa
l access
XML
JSO
N
External
Entities
(MizoneServer)
GET
GET
OR
Internal Entities
(MediaWave Server)

4. Data Crawl & Data Feed Scheme
Twitter
Good Mood
Crawler
Facebook
Good Mood
Crawler
Twitter
Bad Mood
Crawler
Facebook
Bad Mood
Crawler
Good Mood
Data
Storage
Bad Mood
Data
Storage
Aggregator
TwitterandFacebookAPI
1.ForTwitterusingRealtimeStreamAPI
2.ForFacebookusingSearchAPI
to API for
external
access

5. City Detection
Method (Twitter)
Good Mood
Data
Storage
Bad Mood
Data
Storage
Aggregator
ExtractCity
"id_str": "276483979",
"default_profile": false,
"follow_request_sent": null,
"verified": false,
"profile_link_color": "0084B4",
"location": "UT: -8.547824,115.172388",
"id": 276483979,
"utc_offset": null

6. In these period there are 2.856.382 conversations about bad mood and 2.293.067 people who have
bad mood.
Otherwise there are 2.350.052 conversations about good mood and 1.770.030 people who have good
mood

7. susah
sekolah
males
pagi
jelek
Palembang
sakit
telat
males
susah
lama
galau
tai
libur
sekolah
bolos
Top 10 Bad Mood

8. Palembang
ujian
beraktifitas
sukses
kemudahan
usek
cantik
membuat
semoga
senin
kelancaran
Top 10 Good Mood
selamat pagi
semoga
semangat
amin
cantik

9. Most bad mood day is Wednesday with 539.104 conversation (18,87%) from all bad mood
conversations), followed by Thursday with 508.699 conversation (17,81%) from all bad
mood conversations).
Most bad mood period is beetween 6 AM - 12 AM (36,43%), followed by 12 AM - 6 PM
(35,44%) from all bad mood conversation

10. Top 10 bad mood words are Parah, Males, Cape, Bete, lemot,
nungguin, lama, ga enak, Galau, Payah
Visualize bad mood relation

11. Social media has changed the communication between
brand and consumer. Nowadays communications are two
ways communication and horizontally. The consumer's
perception over your product is determined by other
consumer's experience sharing about the product, not
determined by your promotion material and advertising
anymore. MediaWave is the first Social Media Monitoring &
Analytics Platform in Indonesia. MediaWave helps you to
observe and measures the consumer perception upon your
brand in Social Media.
We provide you the most valuable insight directly from
consumer voice
Find more about us at www.mediawave.biz
Contact us :
- contact@mediawave.co.id / @mediawave_id
- yose@mediawave.co.id / @yoseazka
- erik@mediawave.co.id / @erikpalupi
- dwi@mediawave.co.id / @dwiwahyono