- Weitere Titel
-
Meinungsanalyse mit begrenzten Trainingsdaten
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Saarbrücken, Universität des Saarlandes, Diss., 2013
- Klassifikation
-
Informatik
- Schlagwort
-
Maschinelles Lernen ; Text Mining ; Sprachverarbeitung
- Ereignis
-
Veröffentlichung
- (wo)
-
Saarbrücken
- (wer)
-
Saarländische Universitäts- und Landesbibliothek
- (wann)
-
2013
- Urheber
-
Qu, Lizhen
- Beteiligte Personen und Organisationen
-
Weikum, Gerhard
- URN
-
urn:nbn:de:bsz:291-scidok-56150
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:52 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Hochschulschrift
Beteiligte
- Qu, Lizhen
- Weikum, Gerhard
- Saarländische Universitäts- und Landesbibliothek
Entstanden
- 2013
Ähnliche Objekte (12)
Visual sentiment analysis on Twitter data streams
Hyperspectral Image Analysis using Limited Data
Image classification with limited training data and class ambiguity
Adversarial training in affective computing and sentiment analysis: recent advances and perspectives
Hybrid Approaches for Sentiment Analysis
Sentiment analysis of German Twitter
Hybrid approaches for sentiment analysis
Sentiment analysis in electronic negotiations
Blockchain sentiment on sector analysis
#London2012: Towards Citizen-Contributed Urban Planning Through Sentiment Analysis of Twitter Data
Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data
#London2012: Towards Citizen-Contributed Urban Planning Through Sentiment Analysis of Twitter Data
Visual sentiment analysis on Twitter data streams
Hyperspectral Image Analysis using Limited Data
Image classification with limited training data and class ambiguity
Adversarial training in affective computing and sentiment analysis: recent advances and perspectives
Hybrid Approaches for Sentiment Analysis
Sentiment analysis of German Twitter
Hybrid approaches for sentiment analysis
Sentiment analysis in electronic negotiations
Blockchain sentiment on sector analysis
#London2012: Towards Citizen-Contributed Urban Planning Through Sentiment Analysis of Twitter Data
Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data
#London2012: Towards Citizen-Contributed Urban Planning Through Sentiment Analysis of Twitter Data
Visual sentiment analysis on Twitter data streams
Hyperspectral Image Analysis using Limited Data
Image classification with limited training data and class ambiguity
Adversarial training in affective computing and sentiment analysis: recent advances and perspectives
Hybrid Approaches for Sentiment Analysis
Sentiment analysis of German Twitter
Hybrid approaches for sentiment analysis
Sentiment analysis in electronic negotiations
Blockchain sentiment on sector analysis
#London2012: Towards Citizen-Contributed Urban Planning Through Sentiment Analysis of Twitter Data
Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data