Analyzing opinion of different countries for recent events in Afghanistan using text mining
Sachin Aggarwal, Shoaib Showkat Khan, Misha Kakkar · 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) · 2022
The world’s consideration has been attracted to ongoing occasions in Afghanistan due to the potential for them to extend to Iraq and Syria, just as the horrendous treatment of the residents. There is as of now little review to decide whether individuals in Western and Eastern countries consider the new occasions in Afghanistan to be a psychological oppressor bunch and a wellspring of fear, or regardless of whether they see it in an unexpected way. Online media has as of late acquired ubiquity as a device for person-to-person communication and data trade. Twitter is microblogging website that permits clients to send and get brief instant messages (tweets) of 140 characters. These messages can be used for opinion mining to check whether there is a distinction in impression of recent developments in Afghanistan between people from Western and Eastern countries. In this study the opinion analysis of the tweets is conducted to understand whether individuals utilized almost similar words while tweeting about the new occasions in Afghanistan, having similar positive and pessimistic words reflects how individuals consider this association a gathering of psychological oppressors paying little heed to where they are from, and most clients consider the new occasions in Afghanistan to be a wellspring of danger and dread paying little heed to where they are from.