Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining 论文

2013IEEE Intelligent Systems引用 253
DOI
Sentiment Analysis and Opinion MiningAdvanced Text Analysis TechniquesText and Document Classification Technologies
Text and Document Classification TechnologiesAdvanced Text Analysis TechniquesSentiment Analysis and Opinion Mining
相关技术:Text and Document Classification TechnologiesSentiment Analysis and Opinion Mining
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摘要

SenticNet 1.0 is one of the most widely used, publicly available resources for concept-based opinion mining. The presented methodology enriches SenticNet concepts with affective information by assigning an emotion label.

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S

Sivaji Bandyopadhyay

D

Dipankar Das

N

Newton Howard

A

Amir Hussain

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Text and Document Classification TechnologiesSentiment Analysis and Opinion Mining

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