3 citations · 6 across the 3 of their papers we have counts for
4 papers
Single Document Extractive Summarization using Domination in Hypergraph
Aamir Miyajiwala, Aabha Pingle, Sheetal Sonawane +1
Automatic Text Summarization (ATS) in Natural Language Processing has been an important task in Information Retrieval. It compresses a document to create a summary that captures al…
Robust Sentiment Analysis for Low Resource languages Using Data Augmentation Approaches: A Case Study in Marathi
Aabha Pingle, Aditya Vyawahare, Isha Joshi +3
Sentiment analysis plays a crucial role in understanding the sentiment expressed in text data. While sentiment analysis research has been extensively conducted in English and other…
L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models
Aabha Pingle, Aditya Vyawahare, Isha Joshi +2
The exploration of sentiment analysis in low-resource languages, such as Marathi, has been limited due to the availability of suitable datasets. In this work, we present L3Cube-Mah…
Implementing Deep Learning-Based Approaches for Article Summarization in Indian Languages
Rahul Tangsali, Aabha Pingle, Aditya Vyawahare +2
The research on text summarization for low-resource Indian languages has been limited due to the availability of relevant datasets. This paper presents a summary of various deep-le…