Text Categorization

21 papers with code · Natural Language Processing
Subtask of Text Classification

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pke: an open source python-based keyphrase extraction toolkit

COLING 2016 boudinfl/pke

We describe pke, an open source python-based keyphrase extraction toolkit.

TEXT CATEGORIZATION

Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization using Large-Scale Gazetteers

8 Feb 2017juand-r/entity-recognition-datasets

Turkish Wikipedia Named-Entity Recognition and Text Categorization (TWNERTC) dataset is a collection of automatically categorized and annotated sentences obtained from Wikipedia.

NAMED ENTITY RECOGNITION TEXT CATEGORIZATION

Inverse-Category-Frequency based supervised term weighting scheme for text categorization

13 Dec 2010textvec/textvec

Term weighting schemes often dominate the performance of many classifiers, such as kNN, centroid-based classifier and SVMs.

INFORMATION RETRIEVAL TEXT CATEGORIZATION

t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams

11 Nov 2019sergioburdisso/pyss3

A recently introduced classifier, called SS3, has shown to be well suited to deal with early risk detection (ERD) problems on text streams.

DOCUMENT CLASSIFICATION MULTI-LABEL TEXT CLASSIFICATION SENTENCE CLASSIFICATION TEXT CATEGORIZATION

Massively Multilingual Word Embeddings

5 Feb 2016idiap/mhan

We introduce new methods for estimating and evaluating embeddings of words in more than fifty languages in a single shared embedding space.

MULTILINGUAL WORD EMBEDDINGS TEXT CATEGORIZATION

Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications

12 Sep 2018cair/TextUnderstandingTsetlinMachine

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.

TEXT CATEGORIZATION

Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations

21 Jan 2019HongyangGao/hConv-gPool-Net

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.

TEXT CATEGORIZATION

Structure-Aware Convolutional Neural Networks

NeurIPS 2018 vector-1127/SACNNs

Convolutional neural networks (CNNs) are inherently subject to invariable filters that can only aggregate local inputs with the same topological structures.

IMAGE CLASSIFICATION SKELETON BASED ACTION RECOGNITION TEXT CATEGORIZATION