DeepAI
Log In Sign Up

Experimental Evaluation of Deep Learning models for Marathi Text Classification

01/13/2021
by   Atharva Kulkarni, et al.
0

The Marathi language is one of the prominent languages used in India. It is predominantly spoken by the people of Maharashtra. Over the past decade, the usage of language on online platforms has tremendously increased. However, research on Natural Language Processing (NLP) approaches for Marathi text has not received much attention. Marathi is a morphologically rich language and uses a variant of the Devanagari script in the written form. This works aims to provide a comprehensive overview of available resources and models for Marathi text classification. We evaluate CNN, LSTM, ULMFiT, and BERT based models on two publicly available Marathi text classification datasets and present a comparative analysis. The pre-trained Marathi fast text word embeddings by Facebook and IndicNLP are used in conjunction with word-based models. We show that basic single layer models based on CNN and LSTM coupled with FastText embeddings perform on par with the BERT based models on the available datasets. We hope our paper aids focused research and experiments in the area of Marathi NLP.

READ FULL TEXT

page 1

page 2

page 3

page 4

01/19/2020

Deep Learning for Hindi Text Classification: A Comparison

Natural Language Processing (NLP) and especially natural language text a...
03/10/2022

TextConvoNet:A Convolutional Neural Network based Architecture for Text Classification

In recent years, deep learning-based models have significantly improved ...
10/23/2021

Hate and Offensive Speech Detection in Hindi and Marathi

Sentiment analysis is the most basic NLP task to determine the polarity ...
01/30/2021

ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models

Text classification is the most basic natural language processing task. ...
01/11/2021

Evaluation of Deep Learning Models for Hostility Detection in Hindi Text

The social media platform is a convenient medium to express personal tho...
07/05/2022

Betti numbers of attention graphs is all you really need

We apply methods of topological analysis to the attention graphs, calcul...
10/11/2022

Relational Embeddings for Language Independent Stance Detection

The large majority of the research performed on stance detection has bee...