TY  - CONF
AV  - none
N2  - Urdu ranks very high among languages used for communication in the Southern Asia. Even though with great following, it clearly lack computational support that is why it is written in Romanized Urdu script. There has been a lot of research done on the gender and age identification of author through written text but not ample have been done using Romanized Urdu dataset. In our research, we have proposed a model for the said purpose by identifying key parameter (defined attributes) of an author. These parameters were measured for both the genders and three categories of age. Weight assignment technique was used to plot graphs which help in computation of the desired results. © 2019 IEEE.
N1  - cited By 1; Conference of 1st International Conference on Artificial Intelligence and Data Sciences, AiDAS 2019 ; Conference Date: 19 September 2019; Conference Code:157266
KW  - Gender identification; Romanized Urdu Dataset; Southern asia; Three categories; Weight assignment; Written texts
KW  -  Artificial intelligence
SP  - 164
ID  - scholars11327
TI  - Gender and age identification through romanized Urdu dataset
Y1  - 2019///
SN  - 9781728130415
PB  - Institute of Electrical and Electronics Engineers Inc.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079356877&doi=10.1109%2fAiDAS47888.2019.8971016&partnerID=40&md5=39270822d29f7609c3f4927a4e640a28
A1  - Baseer, F.
A1  - Jaafar, J.
A1  - Habib, A.
EP  - 169
ER  -