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A Curious Noob!. Climate Disaster Language Analysis
Profile image for Chris Harding
Chris Harding
 — Chemical Engineer and Biological Scientist
3 years ago

As usual, I get excited, make grand plans, and discover that tools and methods are not as easy as I expect[A]. Ah, the life of a curious noob!


With that said, I still have to try. My grandiose goal, and it is a bit grandiose, is that I can use corpus linguistics, discourse analysis, and critical discourse analysis, once I learn them, to, as an example, analyze online social network texts for climate crisis discussions and accurately analyze if it is positive, negative, or neutral psychology, to train AI and predict future outcomes after climate disasters. I thought about this after I saw the CalTech and IBM course project on using Natural Language Processing (NLP) to analyze hate speech in online social networks. Also, [1] and [2] impacted me and got me excited. Maybe my eyes are bigger than my brain. I want to try. With that said, people smarter than I have tried it and had problems[A]. I am NOT a PhD in linguistics. I am just an armchair intellectual. I have time on my hands. I will learn valuable information on the way.

References:


[A] Reiner Grundmann (2022) Using large text news archives for the analysis of climate change discourse: some methodological observations, Journal of Risk Research, 25:3, 395-406, DOI: 10.1080/13669877.2021.1894471


[1] Price, H. (2022). The Language of Mental Illness: Corpus Linguistics and the Construction of Mental Illness in the Press. United Kingdom: Cambridge University Press.


[2] Brindle, A. (2016). The Language of Hate: A Corpus Linguistic Analysis of White Supremacist Language. United Kingdom: Routledge, Taylor & Francis Group.


[3] Gwen Bouvier & David Machin (2018) Critical Discourse Analysis and the challenges and opportunities of social media, Review of Communication, 18:3, 178-192, DOI: 10.1080/15358593.2018.1479881


[4] Agarwal N. Dokoohaki N. & Tokdemir S. (2019). Emerging research challenges and opportunities in computational social network analysis and mining. Springer.


[5] Neuman, Y. (2022). How to Find a Needle in a Haystack. Taylor & Francis. https://bookshelf.vitalsource.com/books/9781000787115


[6] Garrick, Jacqueline; Buck, Martina. (September 2020). Whistleblower Retaliation Checklist: A New Instrument for Identifying Retaliatory Tactics and Their Psychological Impacts After an Employee Discloses Workplace Wrongdoing. Crisis, Stress, and Human Resilience. Vol. 2, No. 2.


[7] van der Velden, P. G., Pecoraro, M., Houwerzijl, M. S., & van der Meulen, E. (2019). Mental Health Problems Among Whistleblowers: A Comparative Study. Psychological Reports, 122(2), 632–644. https://lnkd.in/gXvKqhXa



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