Exploring Redditors’ Topics with Natural Language Processing
[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 aggregate...
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| Tipo de recurso: | capítulo de libro |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/189456 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/189456 |
| Access Level: | acceso abierto |
| Palabra clave: | Reddit Online discussion community Online discussion topics Natural language processing LDA TF-IDF |
| Sumario: | [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. |
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