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Zimbra et al., 2016 - Google Patents

Brand-related Twitter sentiment analysis using feature engineering and the dynamic architecture for artificial neural networks

Zimbra et al., 2016

Document ID
12967874338536493951
Author
Zimbra D
Ghiassi M
Lee S
Publication year
Publication venue
2016 49th Hawaii International Conference on System Sciences (HICSS)

External Links

Snippet

We present an approach to brand-related Twitter sentiment analysis using feature engineering and the Dynamic Architecture for Artificial Neural Networks (DAN2). The approach addresses challenges associated with the unique characteristics of the Twitter …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F17/30634—Querying
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