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Mood Parameter Research Based on Twitter Conversation



For:                                                 Research by:
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:
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
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
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
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
susah
    sekolah
    males
    pagi
    jelek

              Palembang

                          sakit   galau
                          telat   tai
                          males   libur
                          susah   sekolah
                          lama    bolos




Top 10 Bad Mood
Palembang

                         cantik
                         membuat
                         semoga
                         senin
                         kelancaran


                                  selamat pagi
                                  semoga ujian
                                  semangat beraktifitas
                                  amin     sukses
                                  cantik   kemudahan
                                            usek




Top 10 Good Mood
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
Top 10 bad mood words are Parah, Males, Cape, Bete, lemot,
         nungguin, lama, ga enak, Galau, Payah

               Visualize bad mood relation
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

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City Mood Based on Twitter Conversation

  • 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