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Text Classification

198 papers with code · Natural Language Processing

Text classification is the task of assigning a sentence or document an appropriate category. The categories depend on the chosen dataset and can range from topics.

( Image credit: Text Classification Algorithms: A Survey )

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Latest papers with code

Tensor Graph Convolutional Networks for Text Classification

12 Jan 2020xienliu/tensor-gcn-text-classification-tensorflow

A new framework TensorGCN (tensor graph convolutional networks), is presented for this task.

TEXT CLASSIFICATION

4
12 Jan 2020

Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers

12 Jan 2020SITE5039/AgrLearn

We show that IB learning is, in fact, equivalent to a special class of the quantization problem.

QUANTIZATION REPRESENTATION LEARNING TEXT CLASSIFICATION

1
12 Jan 2020

Stacked DeBERT: All Attention in Incomplete Data for Text Classification

1 Jan 2020gcunhase/StackedDeBERT

This is due to the fact that current approaches are built for and trained with clean and complete data, and thus are not able to extract features that can adequately represent incomplete data.

CHATBOT DENOISING INTENT CLASSIFICATION TEXT CLASSIFICATION

11
01 Jan 2020

FlauBERT: Unsupervised Language Model Pre-training for French

11 Dec 2019getalp/Flaubert

Language models have become a key step to achieve state-of-the art results in many different Natural Language Processing (NLP) tasks.

LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE TEXT CLASSIFICATION WORD SENSE DISAMBIGUATION

63
11 Dec 2019

EduBERT: Pretrained Deep Language Models for Learning Analytics

2 Dec 2019bclavie/edubert

The use of large pretrained neural networks to create contextualized word embeddings has drastically improved performance on several natural language processing (NLP) tasks.

TEXT CLASSIFICATION WORD EMBEDDINGS

1
02 Dec 2019

A Multi-cascaded Deep Model for Bilingual SMS Classification

29 Nov 2019haroonshakeel/bilingual_sms_classification

Our model achieves high accuracy for classification on this dataset and outperforms the previous model for multilingual text classification, highlighting language independence of McM.

LEXICAL NORMALIZATION MULTILINGUAL TEXT CLASSIFICATION TEXT CLASSIFICATION TRANSLITERATION

0
29 Nov 2019

Deep Learning with Gaussian Differential Privacy

26 Nov 2019woodyx218/Deep-Learning-with-GDP

Our results demonstrate that the f-differential privacy framework allows for a new privacy analysis that improves on the prior analysis [3], which in turn suggests tuning certain parameters of neural networks for a better prediction accuracy without violating the privacy budget.

IMAGE CLASSIFICATION RECOMMENDATION SYSTEMS TEXT CLASSIFICATION

2
26 Nov 2019

Word-Class Embeddings for Multiclass Text Classification

26 Nov 2019AlexMoreo/word-class-embeddings

Pre-trained word embeddings encode general word semantics and lexical regularities of natural language, and have proven useful across many NLP tasks, including word sense disambiguation, machine translation, and sentiment analysis, to name a few.

MACHINE TRANSLATION SENTIMENT ANALYSIS TEXT CLASSIFICATION WORD EMBEDDINGS WORD SENSE DISAMBIGUATION

2
26 Nov 2019