Graph convolutional neural networks for text categorization
Text categorization is the task of labelling text data from a predetermined set of thematic labels. In recent years, it has become of increasing importance as we generate large volumes of data and require the ability to search through these vast datasets with flexible queries. However, manually labe...
Saved in:
主要作者: | Lakhotia, Suyash |
---|---|
其他作者: | Xavier Bresson |
格式: | Final Year Project |
語言: | English |
出版: |
2018
|
主題: | |
在線閱讀: | http://hdl.handle.net/10356/74095 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Graph convolutional neural networks for the travelling salesman problem
由: Joshi, Chaitanya Krishna
出版: (2019) -
Natural language translation with graph convolutional neural network
由: Zhu, Yimin
出版: (2018) -
Semi supervised learning with graph convolutional networks
由: Ong, Jia Rui
出版: (2019) -
Class-based attack on graph convolution network
由: He, HeFei
出版: (2022) -
Masked face recognition using convolutional neural network
由: Wu, Peihang
出版: (2023)