An Emotion Recognition Conversation System Based on Knowledge Database Automatic Architecture

Teng, Zhi; Ren, Fuji; Kuroiwa, Shingo

doi:10.1007/978-3-540-74282-1_81

Cited by 1 publication

(1 citation statement)

References 2 publications

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“…The SVMs application model consists of three algorithms: basic SVMs, linear SVMs and nonlinear SVMs [22]. We find that we can achieve better classification results through the linear SVMs and amend the parameter of C-SVC (regularized support vector classification) in NLP field based on our previous study [23,24]. In this study, we attempt to determine a better parameter c of C-SVC [21] to improve the classification performance (Section 6.4.…”

Section: Article Classificationmentioning

confidence: 99%

Create Special Domain News Collections through Summarization and Classification

Teng

Liu

Ren

2009

IEEJ Transactions Elec Engng

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In this paper, we present a novel technique to create a special domain news collection system from really simple syndication (RSS) news sites through summarization and classification. The main aim of this research is to build a self-sufficient news collection system in disaster domain. In this news collection system, we used new strategies and algorithms to mine news from RSS sites, recognized and collected disaster news using automatic summarization and classification. The most striking dissimilarity between our study and previous work is that we use a novel summary approach to improve the classification performance. This paper discusses the effect of summarization and classification model on system performance. Results show that our method yields a better performance in this field. 

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Section: Article Classificationmentioning

confidence: 99%