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ECML PKDD 2018 Workshops

Overview of attention for book
Cover of 'ECML PKDD 2018 Workshops'

Table of Contents

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    Book Overview
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    Chapter 1 Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant
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    Chapter 2 Asynchronous Federated Learning for Geospatial Applications
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    Chapter 3 Generalizing Knowledge in Decentralized Rule-Based Models
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    Chapter 4 Introducing Noise in Decentralized Training of Neural Networks
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    Chapter 5 Query Log Analysis: Detecting Anomalies in DNS Traffic at a TLD Resolver
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    Chapter 6 Multimodal Tweet Sentiment Classification Algorithm Based on Attention Mechanism
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    Chapter 7 Active Learning by Clustering for Drifted Data Stream Classification
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    Chapter 8 Self Hyper-parameter Tuning for Stream Recommendation Algorithms
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    Chapter 9 Deep Online Storage-Free Learning on Unordered Image Streams
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    Chapter 10 Fault Prognostics for the Predictive Maintenance of Wind Turbines: State of the Art
Attention for Chapter 6: Multimodal Tweet Sentiment Classification Algorithm Based on Attention Mechanism
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Citations

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Chapter title
Multimodal Tweet Sentiment Classification Algorithm Based on Attention Mechanism
Chapter number 6
Book title
ECML PKDD 2018 Workshops
Published in
Communications in Computer and Information Science, September 2018
DOI 10.1007/978-3-030-14880-5_6
Book ISBNs
978-3-03-014879-9, 978-3-03-014880-5
Authors

Peiyu Zou, Shuangtao Yang, Zou, Peiyu, Yang, Shuangtao

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 25%
Student > Doctoral Student 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 2 50%
Unknown 2 50%

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