Papers › Compositional Coding Capsule Network with K-Means Routing for Text Classification

Compositional Coding Capsule Network with K-Means Routing for Text Classification

22 Oct 2018arXiv:1810.09177archive 2025-07-28

Hao Ren, Hong Lu

Text classification is a challenging problem which aims to identify the category of texts. In the process of training, word embeddings occupy a large part of parameters. Under the limitation of limited computing resources, it indirectly limits the ability of subsequent network designs. In order to reduce the number of parameters, the compositional coding mechanism has been proposed recently. Based on this, this paper further explores compositional coding and proposes a compositional weighted coding method. And we apply capsule network to model the relationship between word embeddings, a new routing algorithm, which is based on k-means clustering theory, is proposed to fully mine the relationship between word embeddings. Combined with our compositional weighted coding method and the routing algorithm, we design a neural network for text classification. Experiments conducted on eight challenging text classification datasets show that the proposed method achieves competitive accuracy compared to the state-of-the-art approach with significantly fewer parameters.

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Code

leftthomas/CCCapsNet officialmentioned in papermentioned on GitHubpytorch report

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Tasks

ClassificationClusteringGeneral ClassificationSentiment AnalysisText Classificationtext-classification

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Sentiment Analysis Amazon Review Full CCCapsNet Accuracy 60.95 #7 of 9 Archive leaderboard report
Sentiment Analysis Amazon Review Polarity CCCapsNet Accuracy 94.96 #7 of 9 Archive leaderboard report
Sentiment Analysis Yelp Binary classification CCCapsNet Error 3.52 #12 of 20 Archive leaderboard report
Sentiment Analysis Yelp Fine-grained classification CCCapsNet Error 34.15 #11 of 17 Archive leaderboard report
Text Classification AG News CCCapsNet Error 7.61 #15 of 24 Archive leaderboard report
Text Classification DBpedia CCCapsNet Error 1.28 #16 of 21 Archive leaderboard report
Text Classification Sogou News CCCapsNet Accuracy 97.25 #2 of 3 Archive leaderboard report
Text Classification Yahoo! Answers CCCapsNet Accuracy 73.85 #7 of 10 Archive leaderboard report

Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.

Methods

Capsule Network

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