Mapping the Science World with Correlated Topic Modeling Analysis from Science-Related Posts on the Reddit Platform
The main source of technology in today's world is science. The world of science is being reshaped every day with the continuation of studies in the fields of science and technology. However, the development of technology causes the amount of data that cannot be processed with traditional method...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Düzce University
2024-07-01
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| Series: | Düzce Üniversitesi Bilim ve Teknoloji Dergisi |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/3451713 |
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| Summary: | The main source of technology in today's world is science. The world of science is being reshaped every day with the continuation of studies in the fields of science and technology. However, the development of technology causes the amount of data that cannot be processed with traditional methods on technological platforms to increase day by day. Making meaningful data meaningful by processing unmeaningful data will enable companies, institutions, and organizations to transform big data into highly beneficial tools. One of the most effective data mining techniques for processing and making sense of data is topic modeling. In this study, semantic content analysis of science-related posts on the Reddit platform was conducted using corelated topic modeling (CTM), one of the topic modeling techniques. In the first nine months of 2022, the hidden meanings in Reddit posts and the correlation between these meanings were revealed, and the relevant results were shared. It is thought that the results obtained will be a source of ideas for people interested in science and scientists for their research. |
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| ISSN: | 2148-2446 |