Twitter corpus for Sentiment Analysis from a class (cs224n)at Stanford.
Class page:
https://sites.google.com/site/twittersentimenthelp/for-researchers#Where_is_the_Tweet_corpus_8553
http://www.stanford.edu/~alecmgo/cs224n
Citizen Journalists: We are now Frictionless neighbors, World-news curators, Cultural translators, Censorship invaders and Content creators. Great video with examples.
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R. Agrawal, B. Golshan, and E. Papalexakis. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 1661--1670. New York, NY, USA, ACM, (2015)
R. Agrawal, B. Golshan, and E. Papalexakis. Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, page 1661--1670. New York, NY, USA, ACM, (2015)
F. Alam, U. Qazi, M. Imran, and F. Ofli. (2021)cite arxiv:2104.03090Comment: Accepted in ICWSM-2021, Twitter datasets, Textual content, Natural disasters, Crisis Informatics.