GINopic: Topic Modeling with Graph Isomorphism Network

1 code implementation • 2 Apr 2024 • Suman Adhya, Debarshi Kumar Sanyal

Topic modeling is a widely used approach for analyzing and exploring large document collections.

Topic Models

What Does the Indian Parliament Discuss? An Exploratory Analysis of the Question Hour in the Lok Sabha

1 code implementation • PoliticalNLP (LREC) 2022 • Suman Adhya, Debarshi Kumar Sanyal

The TCPD-IPD dataset is a collection of questions and answers discussed in the Lower House of the Parliament of India during the Question Hour between 1999 and 2019.

Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling

1 code implementation • 28 Mar 2023 • Suman Adhya, Avishek Lahiri, Debarshi Kumar Sanyal

Dropout is a widely used regularization trick to resolve the overfitting issue in large feedforward neural networks trained on a small dataset, which performs poorly on the held-out test subset.

Decoder Topic Models

Improving Neural Topic Models with Wasserstein Knowledge Distillation

1 code implementation • 27 Mar 2023 • Suman Adhya, Debarshi Kumar Sanyal

Topic modeling is a dominant method for exploring document collections on the web and in digital libraries.

Knowledge Distillation Topic Models

Improving Contextualized Topic Models with Negative Sampling

2 code implementations • 27 Mar 2023 • Suman Adhya, Avishek Lahiri, Debarshi Kumar Sanyal, Partha Pratim Das

Topic modeling has emerged as a dominant method for exploring large document collections.

Topic Models