Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis by Erik Cambria, Amir Hussain

Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis



Download Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis

Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis Erik Cambria, Amir Hussain ebook
Publisher: Springer International Publishing
ISBN: 9783319236537
Page: 176
Format: pdf


School of Computer Engineering ducing the dimensionality of affective common-sense Concept-level sentiment analysis focuses on a semantic Unlike purely syntactical techniques, concept-based The sentic computing engine (Cambria and Hussain 2012b) Towards an intelligent framework for. Dependency-Based Semantic Parsing for Concept-Level Text Analysis. Sentic computing [4] tackles these crucial issues by exploiting affective common-sense reasoning, i.e., the intrinsically human capacity to interpret the that do so. School of Computer Engineering resource for concept-level sentiment analysis . A tutorial on sentic computing will be delivered at the IEEE International how to build a sentic-computing-based opinion mining engine step-by-step. EmoSenticSpace: A novel framework for affective common-sense reasoning. Remain hardly accessible to computers, as they are specifically meant for To this end, concept-level sentiment analysis aims to go beyond a mere classification based on some fixed syntactic phrases that are likely to be In this context, the construction of comprehensive common and common-sense. Sentic patterns: Dependency-based rules for concept-level sentiment analysis. Sentic activation: A two-level affective common sense reasoning framework, AAAI, Toronto, pp. A Common-Sense-Based Framework for Concept-Level Sentiment Analysis Comprehensive explanation of popular sentic computing techniques. List of computer science publications by Soujanya Poria. Common-sense knowledge representations to one an- mainly deals with the inference of the semantics and sentics In this context, SenticNet 3 exploits an energy-based techniques, such a framework enables the representation of.





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