Zhao, Yilang2022-11-082022-11-082022-09-209788413960180https://riunet.upv.es/handle/10251/189456[EN] This paper examines how people in Reddit develop topics across threads in a given subreddit and how discussions concentrate on the topic in given threads with natural language processing (NLP) methods. By implementing an LDA topic model and TF-IDF models, this paper discovers people’s aggregated concerns are related to real-world issues and their discussions are concentrative considering the topics they discuss.8Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)RedditOnline discussion communityOnline discussion topicsNatural language processingLDATF-IDFExploring Redditors’ Topics with Natural Language ProcessingCapítulo de libro10.4995/CARMA2022.2022.15022Abierto