mlsanityData to 14 Oct 2026

Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

arXiv 1412.1058 ↗First posted 1 Dec 2014cs.CL cs.LG stat.MLcited by 40

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Abstract (arXiv)

Convolutional neural network (CNN) is a neural network that can make use of the internal structure of data such as the 2D structure of image data. This paper studies CNN on text categorization to exploit the 1D structure (namely, word order) of text data for accurate prediction. Instead of using low-dimensional word vectors as input as is often done, we directly apply CNN to high-dimensional text data, which leads to directly learning embedding of small text regions for use in classification. In addition to a straightforward adaptation of CNN from image to text, a simple but new variation which employs bag-of-word conversion in the convolution layer is proposed. An extension to combine multiple convolution layers is also explored for higher accuracy. The experiments demonstrate the effectiveness of our approach in comparison with state-of-the-art methods.

Key facts. Cited by 40 papers in the map (data through 14 Oct 2026). First posted on arXiv 1 Dec 2014.

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Citing papers per year: 2021: 11; 2022: 12; 2023: 11; 2024: 1; 2025: 4; 2026: 1.

40 papers.

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  2. 2021Multi-Label Learning from Single Positive Labelscited by 81
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  7. 2022A Transformer-based Framework for POI-level Social Post Geolocationcited by 13
  8. 2021Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classificationcited by 8
  9. 2023Encoded Summarization: Summarizing Documents into Continuous Vector Space for Legal Case Retrievalcited by 6
  10. 2022TextConvoNet:A Convolutional Neural Network based Architecture for Text Classificationcited by 5
  11. 2021Hierarchical Text Classification of Urdu News using Deep Neural Networkcited by 4
  12. 2022Spam Review Detection Using Deep Learningcited by 4
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  4. 2024Utilizing Local Hierarchy with Adversarial Training for Hierarchical Text Classificationcited by 3
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  6. 2022State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictionscited by 2
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  10. 2021Solar cell patent classification method based on keyword extraction and deep neural networkcited by 1
  11. 2023Open Problems in Applied Deep Learningcited by 1
  12. 2023JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extractioncited by 1
  13. 2023SECNN: Squeeze-and-Excitation Convolutional Neural Network for Sentence Classificationcited by 1
  14. 2025Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideationcited by 1
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  18. 2022TraceNet: Tracing and Locating the Key Elements in Sentiment Analysiscited by 0
  19. 2022Learning Sequence Representations by Non-local Recurrent Neural Memorycited by 0
  20. 2022A Machine Learning Approach to Classifying Construction Cost Documents into the International Construction Measurement Standardcited by 0
  21. 2022Classifying text using machine learning models and determining conversation driftcited by 0
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  23. 2023SA-CNN: Application to text categorization issues using simulated annealing-based convolutional neural network optimizationcited by 0
  24. 2023Classification-Aware Neural Topic Model Combined With Interpretable Analysis -- For Conflict Classificationcited by 0
  25. 2025Hierarchical Text Classification Using Contrastive Learning Informed Path Guided Hierarchycited by 0
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