Aspect-Based Sentiment Analysis on the Web Using Rhetorical Structure Theory

Rowan Hoogervorst; Erik Essink; Wouter Jansen; Max van den Helder; Kim Schouten; Flavius Frăsincar; Maite Taboada

doi:10.1007/978-3-319-38791-8_18

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Aspect-Based Sentiment Analysis on the Web Using Rhetorical Structure Theory

Rowan Hoogervorst Erik Essink Wouter Jansen Max van den Helder Kim Schouten Flavius Frăsincar Maite Taboada

Year: 2016 Lecture notes in computer science Pages: 317-334 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-319-38791-8_18

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Keywords:

Computer science Sentiment analysis Lexicon Context (archaeology) Baseline (sea) Rhetorical question Artificial intelligence Natural language processing Tree structure Information retrieval Linguistics Algorithm Binary tree

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2.68

FWCI (Field Weighted Citation Impact)

Refs

0.90

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Is in top 1%

Is in top 10%

Citation History

Topics

Sentiment Analysis and Opinion Mining

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Text Analysis Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Aspect-Based Sentiment Analysis on the Web Using Rhetorical Structure Theory

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Citation History

Topics

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