Text Categorization

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 44 papers with code (247 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis
  6 Jul 2017 3 repositories listed
  In this paper we investigate the impact of simple text preprocessing decisions (particularly tokenizing, lemmatizing, lowercasing and multiword grouping) on the performance of a standard neural text classifier.
• A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks
  27 Oct 2016 3 repositories listed
  Sarcasm detection is a key task for many natural language processing tasks.
• Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks
  10 Nov 2019 2 repositories listed
  LEOPARD is trained with the state-of-the-art transformer architecture and shows better generalization to tasks not seen at all during training, with as few as 4 examples per label.
• Inverse-Category-Frequency based supervised term weighting scheme for text categorization
  13 Dec 2010 2 repositories listed
  Term weighting schemes often dominate the performance of many classifiers, such as kNN, centroid-based classifier and SVMs.
• Latent Dirichlet Allocation
  1 Jan 2003 2 repositories listed
  Each topic is, in turn, modeled as an infinite mixture over an underlying set of topic probabilities.
• A Model Ensemble Approach with LLM for Chinese Text Classification
  22 Mar 2024 1 repository listed
  Automatic medical text categorization can assist doctors in efficiently managing patient information.
• Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive Study
  14 Jan 2024 1 repository listed
  The study categorized Reddit and X datasets into "Depressive" and "Non-Depressive" segments, translated into Bengali by native speakers with expertise in mental health, resulting in the creation of the Bengali Social…
• Beyond original Research Articles Categorization via NLP
  13 Sep 2023 1 repository listed
  This work proposes a novel approach to text categorization -- for unknown categories -- in the context of scientific literature, using Natural Language Processing techniques.
• Quantum Recurrent Neural Networks for Sequential Learning
  7 Feb 2023 1 repository listed
  Quantum neural network (QNN) is one of the promising directions where the near-term noisy intermediate-scale quantum (NISQ) devices could find advantageous applications against classical resources.
• Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning
  19 Dec 2022 1 repository listed
  Machine Learning algorithms have been extensively researched throughout the last decade, leading to unprecedented advances in a broad range of applications, such as image classification and reconstruction, object…
• Very Large Language Model as a Unified Methodology of Text Mining
  19 Dec 2022 1 repository listed
  Text data mining is the process of deriving essential information from language text.
• Text Ranking and Classification using Data Compression
  23 Sep 2021 1 repository listed
  A well-known but rarely used approach to text categorization uses conditional entropy estimates computed using data compression tools.
• Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data Set
  11 Jan 2021 1 repository listed
  Romanian is one of the understudied languages in computational linguistics, with few resources available for the development of natural language processing tools.
• Improving Arabic Text Categorization Using Transformer Training Diversification
  1 Dec 2020 1 repository listed
  Automatic categorization of short texts, such as news headlines and social media posts, has many applications ranging from content analysis to recommendation systems.
• NatCat: Weakly Supervised Text Classification with Naturally Annotated Resources
  29 Sep 2020 1 repository listed
  We describe NatCat, a large-scale resource for text classification constructed from three data sources: Wikipedia, Stack Exchange, and Reddit.
• Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach
  26 Aug 2020 1 repository listed
  In this work, we propose to formulate item tagging as a link prediction problem between item nodes and tag nodes.
• SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification
  4 Mar 2020 1 repository listed
  Text categorization is the task of assigning labels to documents written in a natural language, and it has numerous real-world applications including sentiment analysis as well as traditional topic assignment tasks.
• PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI
  19 Dec 2019 1 repository listed
  A recently introduced text classifier, called SS3, has obtained state-of-the-art performance on the CLEF's eRisk tasks.
• Improving Document Classification with Multi-Sense Embeddings
  18 Nov 2019 1 repository listed
  Through extensive experiments on multiple real-world datasets, we show that SCDV-MS embeddings outperform previous state-of-the-art embeddings on multi-class and multi-label text categorization tasks.
• t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams
  11 Nov 2019 1 repository listed
  SS3 was created to deal with ERD problems naturally since: it supports incremental training and classification over text streams, and it can visually explain its rationale.
• Ensemble Quantile Classifier
  28 Oct 2019 1 repository listed
  It is also shown that the ensemble quantile classifier is Bayes optimal under suitable assumptions with asymmetric Laplace distribution inputs.
• Text Categorization by Learning Predominant Sense of Words as Auxiliary Task
  1 Jul 2019 1 repository listed
  Distributions of the senses of words are often highly skewed and give a strong influence of the domain of a document.
• Leap-LSTM: Enhancing Long Short-Term Memory for Text Categorization
  28 May 2019 1 repository listed
  Compared to previous models which can also skip words, our model achieves better trade-offs between performance and efficiency.
• Rep the Set: Neural Networks for Learning Set Representations
  3 Apr 2019 1 repository listed
  In several domains, data objects can be decomposed into sets of simpler objects.
• Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations
  21 Jan 2019 1 repository listed
  Another limitation of GCN when used on graph-based text representation tasks is that, GCNs do not consider the order information of nodes in graph.
• Structure-Aware Convolutional Neural Networks
  1 Dec 2018 1 repository listed
  Convolutional neural networks (CNNs) are inherently subject to invariable filters that can only aggregate local inputs with the same topological structures.
• HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text Categorization
  1 Oct 2018 1 repository listed
  The lower the HS level, the less the categorization performance.
• Revisiting neural relation classification in clinical notes with external information
  1 Oct 2018 1 repository listed
  Recently, segment convolutional neural networks have been proposed for end-to-end relation extraction in the clinical domain, achieving results comparable to or outperforming the approaches with heavy manual feature…
• Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications
  12 Sep 2018 1 repository listed
  The Tsetlin Machine either performs on par with or outperforms all of the evaluated methods on both the 20 Newsgroups and IMDb datasets, as well as on a non-public clinical dataset.
• SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
  18 Aug 2018 1 repository listed
  For example, by examining clusters of relation vectors, we observe that relational similarities can be identified at a more abstract level than with traditional word vector differences.