Text Categorization

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

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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

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

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.

ACTIVITY DETECTION IMAGE CLASSIFICATION SKELETON BASED ACTION RECOGNITION TEXT CATEGORIZATION