Making sense of large social media corpora: keywords, topics, sentiment, and hashtags in the coronavirus Twitter corpus
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham, Switzerland
Palgrave Macmillan
[2024]
|
| Ausgabe: | 1st ed. 2024 |
| Schriftenreihe: | Palgrave pivot
|
| Schlagworte: | |
| Online-Zugang: | kostenfrei kostenfrei |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9783031527197 |
| DOI: | 10.1007/978-3-031-52719-7 |
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| spellingShingle | Moreno-Ortiz, Antonio Making sense of large social media corpora keywords, topics, sentiment, and hashtags in the coronavirus Twitter corpus Research Methods in Language and Linguistics Social Media Health Communication Applied Linguistics Linguistics / Methodology Social media Communication in medicine Applied linguistics COVID-19 (DE-588)1206347392 gnd Social Media (DE-588)4639271-3 gnd Linguistik (DE-588)4074250-7 gnd Hashtag (DE-588)1164034995 gnd Twitter Softwareplattform (DE-588)7660487-1 gnd |
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| title | Making sense of large social media corpora keywords, topics, sentiment, and hashtags in the coronavirus Twitter corpus |
| title_auth | Making sense of large social media corpora keywords, topics, sentiment, and hashtags in the coronavirus Twitter corpus |
| title_exact_search | Making sense of large social media corpora keywords, topics, sentiment, and hashtags in the coronavirus Twitter corpus |
| title_full | Making sense of large social media corpora keywords, topics, sentiment, and hashtags in the coronavirus Twitter corpus Antonio Moreno-Ortiz |
| title_fullStr | Making sense of large social media corpora keywords, topics, sentiment, and hashtags in the coronavirus Twitter corpus Antonio Moreno-Ortiz |
| title_full_unstemmed | Making sense of large social media corpora keywords, topics, sentiment, and hashtags in the coronavirus Twitter corpus Antonio Moreno-Ortiz |
| title_short | Making sense of large social media corpora |
| title_sort | making sense of large social media corpora keywords topics sentiment and hashtags in the coronavirus twitter corpus |
| title_sub | keywords, topics, sentiment, and hashtags in the coronavirus Twitter corpus |
| topic | Research Methods in Language and Linguistics Social Media Health Communication Applied Linguistics Linguistics / Methodology Social media Communication in medicine Applied linguistics COVID-19 (DE-588)1206347392 gnd Social Media (DE-588)4639271-3 gnd Linguistik (DE-588)4074250-7 gnd Hashtag (DE-588)1164034995 gnd Twitter Softwareplattform (DE-588)7660487-1 gnd |
| topic_facet | Research Methods in Language and Linguistics Social Media Health Communication Applied Linguistics Linguistics / Methodology Social media Communication in medicine Applied linguistics COVID-19 Linguistik Hashtag Twitter Softwareplattform |
| url | https://doi.org/10.1007/978-3-031-52719-7 https://directory.doabooks.org/handle/20.500.12854/138301 |
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