Sentiment analysis for COVID-19 vaccination news
In this digital era where information is widely available and easily retrievable from many different sources, large amount of unstructured data is generated every day. Social media, such as Facebook, Instagram or Twitter, provides a means for people around the world to create, share and exchange...
Saved in:
Main Author: | Wang, Wee Jia |
---|---|
Other Authors: | Lee Bu Sung, Francis |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/156559 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Sentiment analysis for COVID-19 vaccination news
by: Lim, Pei Yan
Published: (2022) -
Automatic sentiment classification of political news articles.
by: Nourbakhsh, Armineh.
Published: (2009) -
Development of Bilingual Sentiment and Emotion Text Classification Models from COVID-19 Vaccination Tweets in the Philippines
by: Co, Nicole Allison S, et al.
Published: (2022) -
Organizing news articles and editorials through information extraction and sentiment analysis
by: Cheng, Charibeth, et al.
Published: (2016) -
Sentiments Regarding COVID-19 Vaccination among Graduate Students in Singapore
by: Lim, Lee Jin, et al.
Published: (2022)