Vayam Solve Kurmaha at Touché: Power Identification in Parliamentary Speeches Using TF-IDF Vectorizer and SVM Classifier.
Lakshmi Priya S|Dhannya S. M|S. Shwetha|Surabhi Kamath|Shreedevi Seluka Balaji|Sai Nikitha N. S. R|Srinidhi Lakshmi Narayanan
| Anthology ID: | DBLP:conf/clef/SMSKBRN24 |
|---|---|
| Volume: | Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 9-12 September, 2024. |
| Year: | 2024 |
| Venue: | Conference and Labs of the Evaluation Forum (CLEF) |
| Publisher: | CEUR-WS.org |
| Pages: | 3483-3488 |
| URL: | https://ceur-ws.org/Vol-3740/paper-335.pdf |
| DBLP: | conf/clef/SMSKBRN24 |
| BibTeX: |
@inproceedings{s-2024-vayam,
author = {Lakshmi Priya S and
Dhannya S. M and
S. Shwetha and
Surabhi Kamath and
Shreedevi Seluka Balaji and
Sai Nikitha N. S. R and
Srinidhi Lakshmi Narayanan},
editor = {Guglielmo Faggioli and
Nicola Ferro and
Petra Galusc\'{a}kov\'{a} and
Alba Garcia Seco de Herrera},
title = {{Vayam Solve Kurmaha at Touch\'{e}: Power Identification in Parliamentary Speeches Using TF-IDF Vectorizer and SVM Classifier}},
booktitle = {{Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), Grenoble, France, 9-12 September, 2024}},
series = {CEUR Workshop Proceedings},
volume = {3740},
pages = {3483--3488},
publisher = {CEUR-WS.org},
year = {2024},
url = {https://ceur-ws.org/Vol-3740/paper-335.pdf}
}