Sentiment analysis for social media:
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Basel ; Beijing ; Wuhan ; Barcelona ; Belgrade ; Manchester ; Tokyo
MDPI
[2020]
|
| Schlagworte: | |
| Online-Zugang: | kostenfrei |
| Beschreibung: | This is a reprint of articles from the Special Issue published online in the open access journal Applied sciences (ISSN 2076-3417) |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9783039285730 |
Internformat
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| 245 | 1 | 0 | |a Sentiment analysis for social media |c special issue editors Carlos A. Iglesias, Antonio Moreno |
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| 500 | |a This is a reprint of articles from the Special Issue published online in the open access journal Applied sciences (ISSN 2076-3417) | ||
| 653 | |a opinion mining | ||
| 653 | |a sentiment analysis | ||
| 653 | |a emotion classification | ||
| 653 | |a deep learning | ||
| 653 | |a Twitter | ||
| 653 | |a sentiment analysis | ||
| 653 | |a gender classification | ||
| 653 | |a machine learning | ||
| 653 | |a deep learning | ||
| 653 | |a medical web forum | ||
| 653 | |a emotion classification | ||
| 653 | |a sentiment lexicon | ||
| 653 | |a text feature representation | ||
| 653 | |a sentiment analysis | ||
| 653 | |a word association | ||
| 653 | |a health insurance | ||
| 653 | |a provider networks | ||
| 653 | |a deep learning | ||
| 653 | |a convolutional neural network | ||
| 653 | |a sentiment classification | ||
| 653 | |a collaborative schemes of sentiment analysis and sentiment systems | ||
| 653 | |a review data mining | ||
| 653 | |a semantic networks | ||
| 653 | |a sentiment word analysis | ||
| 653 | |a sentiment analysis | ||
| 653 | |a emotion analysis | ||
| 653 | |a social media | ||
| 653 | |a affect computing | ||
| 700 | 1 | |a Iglesias, Carlos A. |4 edt | |
| 700 | 1 | |a Moreno, Antonio |0 (DE-588)136541631 |4 edt | |
| 710 | 2 | |a MDPI |0 (DE-588)6095067-5 |4 pbl | |
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Datensatz im Suchindex
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| adam_text | |
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| any_adam_object | |
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| author2 | Iglesias, Carlos A. Moreno, Antonio |
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| author_GND | (DE-588)136541631 |
| author_facet | Iglesias, Carlos A. Moreno, Antonio |
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| discipline | Allgemeine Naturwissenschaft |
| discipline_str_mv | Allgemeine Naturwissenschaft |
| format | Electronic eBook |
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| indexdate | 2025-01-23T21:01:30Z |
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| isbn | 9783039285730 |
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| publisher | MDPI |
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| spelling | Sentiment analysis for social media special issue editors Carlos A. Iglesias, Antonio Moreno Basel ; Beijing ; Wuhan ; Barcelona ; Belgrade ; Manchester ; Tokyo MDPI [2020] 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier This is a reprint of articles from the Special Issue published online in the open access journal Applied sciences (ISSN 2076-3417) opinion mining sentiment analysis emotion classification deep learning gender classification machine learning medical web forum sentiment lexicon text feature representation word association health insurance provider networks convolutional neural network sentiment classification collaborative schemes of sentiment analysis and sentiment systems review data mining semantic networks sentiment word analysis emotion analysis social media affect computing Iglesias, Carlos A. edt Moreno, Antonio (DE-588)136541631 edt MDPI (DE-588)6095067-5 pbl Erscheint auch als Druck-Ausgabe, Paperback 978-3-03928-572-3 https://www.doabooks.org/doab?func=fulltext&uiLanguage=en&rid=45980 Verlag kostenfrei Volltext |
| spellingShingle | Sentiment analysis for social media |
| title | Sentiment analysis for social media |
| title_auth | Sentiment analysis for social media |
| title_exact_search | Sentiment analysis for social media |
| title_exact_search_txtP | Sentiment analysis for social media |
| title_full | Sentiment analysis for social media special issue editors Carlos A. Iglesias, Antonio Moreno |
| title_fullStr | Sentiment analysis for social media special issue editors Carlos A. Iglesias, Antonio Moreno |
| title_full_unstemmed | Sentiment analysis for social media special issue editors Carlos A. Iglesias, Antonio Moreno |
| title_short | Sentiment analysis for social media |
| title_sort | sentiment analysis for social media |
| url | https://www.doabooks.org/doab?func=fulltext&uiLanguage=en&rid=45980 |
| work_keys_str_mv | AT iglesiascarlosa sentimentanalysisforsocialmedia AT morenoantonio sentimentanalysisforsocialmedia AT mdpi sentimentanalysisforsocialmedia |