ASPECT-BASED SENTIMENT ANALYSIS

ASPECT-BASED SENTIMENT ANALYSIS

Described herein is a framework to perform aspect-based sentiment analysis. In accordance with one aspect of the framework, initial word embeddings are generated from a training dataset. A predictive model is trained using the initial word embeddings. The trained predictive model may then be used to...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: PAN Sinno Jialin, XIAO Xiaokui, DAHLMEIER Daniel Hermann Richard, WANG Wenya
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:Described herein is a framework to perform aspect-based sentiment analysis. In accordance with one aspect of the framework, initial word embeddings are generated from a training dataset. A predictive model is trained using the initial word embeddings. The trained predictive model may then be used to recognize one or more sequences of tokens in a current dataset.