Outlier Detection on Semantic Space for Sentiment Analysis With Convolutional Neural Networks

Sentiment analysis is a text categorization problem that consists in automatically assigning text documents to pre- defined classes that represent sentiments or a positive/negative opinion about a subject. To solve this task, machine learning techniques can be used. However, in order to achieve good...

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Veröffentlicht in:	2018 International Joint Conference on Neural Networks (IJCNN) S. 1 - 8
Hauptverfasser:	Schmitt, Murilo Falleiros Lemos, Spinosa, Eduardo J.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.07.2018
Schlagworte:	Clustering algorithms Convolutional neural networks Deep Learning Outlier Detection Semantics Sentiment analysis Task analysis Training
ISSN:	2161-4407
Online-Zugang:	Volltext
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