mlsanityData to 14 Oct 2026

L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models

arXiv 2306.13888 ↗First posted 24 Jun 2023cs.CL cs.LGcited by 6

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Abstract (arXiv)

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-MahaSent-MD, a multi-domain Marathi sentiment analysis dataset, with four different domains - movie reviews, general tweets, TV show subtitles, and political tweets. The dataset consists of around 60,000 manually tagged samples covering 3 distinct sentiments - positive, negative, and neutral. We create a sub-dataset for each domain comprising 15k samples. The MahaSent-MD is the first comprehensive multi-domain sentiment analysis dataset within the Indic sentiment landscape. We fine-tune different monolingual and multilingual BERT models on these datasets and report the best accuracy with the MahaBERT model. We also present an extensive in-domain and cross-domain analysis thus highlighting the need for low-resource multi-domain datasets. The data and models are available at https://github.com/l3cube-pune/MarathiNLP .

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 13 of its 27 references that are in the map. First posted on arXiv 24 Jun 2023.

Builds on

13 of 27 references.

References · 13

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  3. 2019ALBERT: A Lite BERT for Self-supervised Learning of Language Representationscited by 2,790
  4. 2020XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalizationcited by 742
  5. 2021MuRIL: Multilingual Representations for Indian Languagescited by 179
  6. 2018Deep Learning for Sentiment Analysis : A Surveycited by 139
  7. 2022L3Cube-MahaCorpus and MahaBERT: Marathi Monolingual Corpus, Marathi BERT Language Models, and Resourcescited by 51
  8. 2021L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Datasetcited by 31
  9. 2022L3Cube-MahaNLP: Marathi Natural Language Processing Datasets, Models, and Librarycited by 31
  10. 2022L3Cube-MahaHate: A Tweet-based Marathi Hate Speech Detection Dataset and BERT modelscited by 21
  11. 2022L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT modelscited by 21
  12. 2021Experimental Evaluation of Deep Learning models for Marathi Text Classificationcited by 19
1 more
  1. 2022Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathicited by 16

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Cited by year

Citing papers per year: 2023: 1; 2024: 3; 2025: 2.

6 papers.

  1. 2024On Limitations of LLM as Annotator for Low Resource Languagescited by 12
  2. 2024GrEmLIn: A Repository of Green Baseline Embeddings for 87 Low-Resource Languages Injected with Multilingual Graph Knowledgecited by 7
  3. 2024Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languagescited by 5
  4. 2023mahaNLP: A Marathi Natural Language Processing Librarycited by 3
  5. 2025Small Models, Big Impact: Efficient Corpus and Graph-Based Adaptation of Small Multilingual Language Models for Low-Resource Languagescited by 3
  6. 2025L3Cube-MahaEmotions: A Marathi Emotion Recognition Dataset with Synthetic Annotations using CoTR prompting and Large Language Modelscited by 2