Graph Convolution Word Embedding and Attention for Text Classification∗.
Yi YangQihui CuiLijun JiZhuoran ChengPublished in: ICMLSC (2022)
Keyphrases
- text classification
- n gram
- training corpus
- distributional clustering
- feature selection
- term frequency
- text categorization
- word segmentation
- graph structure
- bag of words
- graph embedding
- spectral embedding
- graph representation
- image processing
- machine learning
- graph theory
- text documents
- data cleaning
- text classifiers
- nodes of a graph
- semantic features
- text mining
- structured data
- naive bayes
- random walk
- directed graph
- keywords
- graph model
- co occurrence
- labeled data
- data mining
- sentiment analysis
- knn
- frequency domain
- multi label
- text data
- weighted graph
- neural network