Graduate School and Research Center in Digital Sciences

Application of deep learning techniques for text classification on small datasets

Kumar Sharma, Anil; Hazra, Souvik

IJESC, International Journal of Engineering Science and Computing, Vol.8, N°4, April 2018

Text classification is a common NLP problem that involves building a model trained on supervised text and distribute labels to unseen text data. Deep learning have proven to give state of the art performance for large datasets of images and speech, motivated by that in this paper we study application of deep learning on a custom small text dataset by testing them using different architectures and embedding types.

Document Bibtex

Title:Application of deep learning techniques for text classification on small datasets
Keywords:Text Categorization, Deep Learning, Text Classification
Type:Journal
Language:English
City:
Date:
Department:Data Science
Eurecom ref:5559
Bibtex: @article{EURECOM+5559, year = {2018}, month = {04}, title = {{A}pplication of deep learning techniques for text classification on small datasets}, author = {{K}umar {S}harma, {A}nil and {H}azra, {S}ouvik}, journal = {{IJESC}, {I}nternational {J}ournal of {E}ngineering {S}cience and {C}omputing, {V}ol.8, {N}°4, {A}pril 2018}, url = {http://www.eurecom.fr/publication/5559} }