What Does the Indian Parliament Discuss? An Exploratory Analysis of the Question Hour in the Lok Sabha
This repository contains an example version of the code used in the paper "What Does the Indian Parliament Discuss? An Exploratory Analysis of the Question Hour in the Lok Sabha" by Suman Adhya and Debarshi Kumar Sanyal. The code in this repository can be used to perform your own analyses of a small subset of the TCPD-IPD dataset.
The TCPD-IPD 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.
- Data: https://qh.lokdhaba.ashoka.edu.in/
- Browse/Download Data: https://qh.lokdhaba.ashoka.edu.in/browse-data
- About: https://qh.lokdhaba.ashoka.edu.in/about
"TPCD-IPD: TCPD Indian Parliament Dataset (Question Hour) 1.0" Bhogale, Saloni. Trivedi Centre for Political Data, Ashoka University, 2019.
“TPCD-IPD: TCPD Indian Parliament Codebook (Question Hour) 1.0”. Bhogale, Saloni. Trivedi Centre for Political Data, Ashoka University, 2019.
| Name | Link |
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| Example of preprocessing and running the LDA and, LDAseq model on the Finance ministry dataset | 
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Read the paper:
If you decide to use this resource, please cite:
@inproceedings{adhya-sanyal-2022-indian,
title = "What Does the {I}ndian Parliament Discuss? An Exploratory Analysis of the Question Hour in the Lok Sabha",
author = "Adhya, Suman and
Sanyal, Debarshi Kumar",
booktitle = "Proceedings of the LREC 2022 workshop on Natural Language Processing for Political Sciences",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.politicalnlp-1.10",
pages = "72--78",
abstract = "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. Although it is difficult to analyze such a huge collection manually, modern text analysis tools can provide a powerful means to navigate it. In this paper, we perform an exploratory analysis of the dataset. In particular, we present insightful corpus-level statistics and perform a more detailed analysis of three subsets of the dataset. In the latter analysis, the focus is on understanding the temporal evolution of topics using a dynamic topic model. We observe that the parliamentary conversation indeed mirrors the political and socio-economic tensions of each period.",
}