mlsanityData to 14 Oct 2026

BERTopic for Topic Modeling of Hindi Short Texts: A Comparative Study

arXiv 2501.03843 ↗First posted 7 Jan 2025cs.IR cs.CL cs.LGcited by 3

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Abstract (arXiv)

As short text data in native languages like Hindi increasingly appear in modern media, robust methods for topic modeling on such data have gained importance. This study investigates the performance of BERTopic in modeling Hindi short texts, an area that has been under-explored in existing research. Using contextual embeddings, BERTopic can capture semantic relationships in data, making it potentially more effective than traditional models, especially for short and diverse texts. We evaluate BERTopic using 6 different document embedding models and compare its performance against 8 established topic modeling techniques, such as Latent Dirichlet Allocation (LDA), Non-negative Matrix Factorization (NMF), Latent Semantic Indexing (LSI), Additive Regularization of Topic Models (ARTM), Probabilistic Latent Semantic Analysis (PLSA), Embedded Topic Model (ETM), Combined Topic Model (CTM), and Top2Vec. The models are assessed using coherence scores across a range of topic counts. Our results reveal that BERTopic consistently outperforms other models in capturing coherent topics from short Hindi texts.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 15 of its 40 references that are in the map. First posted on arXiv 7 Jan 2025.

Builds on

15 of 40 references.

References · 15

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  3. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,375
  4. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  5. 2018UMAP: Uniform Manifold Approximation and Projection for Dimension Reductioncited by 2,898
  6. 2018Deep contextualized word representationscited by 2,290
  7. 2022BERTopic: Neural topic modeling with a class-based TF-IDF procedurecited by 801
  8. 2019Linguistic Knowledge and Transferability of Contextual Representationscited by 383
  9. 2019Topic Modeling in Embedding Spacescited by 224
  10. 2020Top2Vec: Distributed Representations of Topicscited by 126
  11. 2017Latent Dirichlet Allocation (LDA) and Topic modeling: models, applications, a surveycited by 91
  12. 2013Probabilistic Latent Semantic Analysiscited by 63
3 more
  1. 2019Short Text Topic Modeling Techniques, Applications, and Performance: A Surveycited by 38
  2. 2022L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathicited by 10
  3. 2024Multilingual transformer and BERTopic for short text topic modeling: The case of Serbiancited by 6

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Cited by year

Citing papers per year: 2025: 3.

3 papers.

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  2. 2025Automating Historical Insight Extraction from Large-Scale Newspaper Archives via Neural Topic Modelingcited by 0
  3. 2025Intelligent Scientific Literature Explorer using Machine Learning (ISLE)cited by 0