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A. Pingle

3 papers hereh-index 438 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3

identity via Semantic Scholar / OpenAlex

most citedRobust Sentiment Analysis for Low Resource languages Using Data Augmentation Approaches: A Case Study in Marathi

3 citations · 3 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CL2026

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…

cs.CL2023★ 3 cited

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…

cs.CL2023

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.