Description
This publication explores how natural language processing (NLP) techniques can be applied to social media text data to map public sentiment and inform development research and policy making. The publication introduces the foundations of natural language analyses and showcases studies that have applied NLP techniques to make progress on the Sustainable Development Goals. It also reviews specific NLP techniques and concepts, supported by two case studies. The first case study analyzes public sentiments on the coronavirus disease (COVID-19) in the Philippines while the second case study explores the public debate on climate change in Australia.
Author: Asian Development Bank
Publisher: Asian Development Bank
Published: 08/24/2022
Pages: 128
Binding Type: Paperback
Weight: 0.92lbs
Size: 11.00h x 8.50w x 0.35d
ISBN13: 9789292697013
ISBN10: 9292697013
BISAC Categories:
- Technology & Engineering | Social Aspects
- Business & Economics | Econometrics
- Business & Economics | Forecasting
Author: Asian Development Bank
Publisher: Asian Development Bank
Published: 08/24/2022
Pages: 128
Binding Type: Paperback
Weight: 0.92lbs
Size: 11.00h x 8.50w x 0.35d
ISBN13: 9789292697013
ISBN10: 9292697013
BISAC Categories:
- Technology & Engineering | Social Aspects
- Business & Economics | Econometrics
- Business & Economics | Forecasting
This title is not returnable

