Sentiment and structure in word co-occurrence networks on Twitter
Abstract We explore the relationship between context and happiness scores in political tweets using word co-occurrence networks, where nodes in the network are the words, and the weight of an edge is the number of tweets in the corpus for which the two connected words co-occur. In particular, we con...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
SpringerOpen
2022-02-01
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| Серии: | Applied Network Science |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1007/s41109-022-00446-2 |
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