Browse > Natural Language Processing > Text Classification

Text Classification

185 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 )

Leaderboards

Latest papers with code

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 TEXT CLASSIFICATION

1
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

1
26 Nov 2019

BP-Transformer: Modelling Long-Range Context via Binary Partitioning

11 Nov 2019yzh119/BPT

The Transformer model is widely successful on many natural language processing tasks.

LANGUAGE MODELLING MACHINE TRANSLATION TEXT CLASSIFICATION

24
11 Nov 2019

Transformation of Dense and Sparse Text Representations

7 Nov 2019morning-dews/ST

The key idea of the proposed approach is to use a Forward Transformation to transform dense representations to sparse representations.

NATURAL LANGUAGE INFERENCE TEXT CLASSIFICATION

1
07 Nov 2019

Learning Data Manipulation for Augmentation and Weighting

NeurIPS 2019 tanyuqian/learning-data-manipulation

In this work, we propose a new method that supports learning different manipulation schemes with the same gradient-based algorithm.

DATA AUGMENTATION TEXT CLASSIFICATION

56
28 Oct 2019

Predicting In-game Actions From the Language of NBA Players

24 Oct 2019nadavo/mood

We find that our best performing textual model is most associated with topics that are intuitively related to each prediction task and that better models yield higher correlation with more informative topics.

TEXT CLASSIFICATION

2
24 Oct 2019