print

Automatic demographic classification of indonesian twitter users

---

Demographic Classification is a method to classify people by its demographic. Twitter has become one of largest social media which there are millions of tweets posted every day. Indonesia also becomes one of major country who uses Twitter. I Twitter there is no way to know how to classify each user into its demographic attributes. Because in Twitter profile there?s no demographic attributes like gender or age. This research will focus on how to classify Indonesian Twitter users based on their gender, age and occupation. This research will use Na├¤ve Bayes and K-Nearest Neighbor as its classifier algorithm. According to the result, Na├¤ve Bayes performs well only in gender classification while K-Nearest Neighbor does not perform well in any demographic classification. Testing set successfully classified gender but failed with age and occupation.

---

Availability

B01366

(wh)

Available

Detail Information

Series Title

-

Call Number

1366

Publisher

: Swiss German University., 2013

Collation

-

Language

English

ISBN/ISSN

-

Classification

NONE

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

IT

Specific Detail Info

-

Statement of Responsibility

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment