OntoSenticNet : a commonsense ontology for sentiment analysis

OntoSenticNet : a commonsense ontology for sentiment analysis

In this work, we present OntoSenticNet, a commonsense ontology for sentiment analysis based on SenticNet, a semantic network of 100,000 concepts based on conceptual primitives. The key characteristics of OntoSenticNet are: (i) the definition of precise conceptual hierarchy and properties associating...

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Bibliographic Details
Main Authors: Dragoni, Mauro, Poria, Soujanya, Cambria, Erik
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Engineering::Computer science and engineering
Sentiment Analysis
Commonsense Reasoning
Online Access:https://hdl.handle.net/10356/140383
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/140383

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