City mood parameter detection based on Twitter conversation in Indonesia

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

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
Internal Entities
Injected (MediaWave Server)
Bad Mood & Good Mood
Keywords
Twitter
Good Mood
Crawler
Good
Mood GET
Facebook XML
(Mizone Server )
Data
Good Mood
Storage
External
Crawler API
Entities
for
OR
Aggregator externa
Twitter l access
Bad Mood JSO GET
Crawler Bad N
Mood
Facebook Data
Bad Mood Storage
Crawler
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

4. Data Crawl & Data Feed Scheme
Twitter
1. For Twitter using Realtime Stream API
Good Mood
Crawler
Good Mood
2. For Facebook using Search API
Data
Facebook
Storage
Good Mood
Twitter and Facebook API
Crawler
to API for
Aggregator
external
Twitter
Bad Mood
access
Crawler
Bad Mood
Facebook Data
Bad Mood Storage
Crawler

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

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 galau
telat tai
males libur
susah sekolah
lama bolos
Top 10 Bad Mood

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

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