Last updated: January 24, 2020
A whitepaper distilling LIRNEasia‘s current thoughts on the possibilities and issues with the computation extraction of syntactic and semantic language from digital text.
Posted by Yudhanjaya Wijeratne on April 24, 2019 / 0 Comments
Last updated: January 24, 2020
A whitepaper distilling LIRNEasia‘s current thoughts on the possibilities and issues with the computation extraction of syntactic and semantic language from digital text.
Last year we conducted research to explore the possibility of leveraging online job portal data for economic analysis in 13 Asia Pacific countries, as a part of a project for the Asian Development Bank. We examined the types of information available on major portals across the region, to discern the nature and format of available data.
On 2nd October 2023, Research Manager and Team Lead (Data, Algorithms, and Policy) Merl Chandana, alongside Junior Researcher Chanuka Algama, held a session titled ‘Applied data science research for social good’ at the University of Kelaniya’s Department of Statistics and Computer Science. The session delved into LIRNEasia’s journey of forming a data science team and using large datasets to yield critical insights for public policy.
By employing unsupervised and supervised machine learning techniques, we explore the feasibility of utilizing mobile call detail records (CDRs) as well as geographic information system (GIS) and remote sensing (RS) data to map poverty spatially
12, Balcombe Place, Colombo 08
Sri Lanka
+94 (0)11 267 1160
+94 (0)11 267 5212
info [at] lirneasia [dot] net
Copyright © 2024 LIRNEasia
a regional ICT policy and regulation think tank active across the Asia Pacific
Comments are closed.