Update README.md

README.md

@@ -1,19 +1,19 @@
----
-license: cc-by-sa-4.0
-datasets:
-- GiliGold/VAD_KnessetCorpus
-- HaifaCLGroup/KnessetCorpus
-- GiliGold/Hebrew_VAD_lexicon
-language:
-- he
-tags:
-- vad
-- valence
-- arousal
-- dominance
-- regression
-- knesset
----
+---
+license: cc-by-sa-4.0
+datasets:
+- GiliGold/VAD_KnessetCorpus
+- HaifaCLGroup/KnessetCorpus
+- GiliGold/Hebrew_VAD_lexicon
+language:
+- he
+tags:
+- vad
+- valence
+- arousal
+- dominance
+- regression
+- knesset
+---
 # VAD Binomial Regression Models
 This repository contains three binomial regression models designed to predict VAD (Valence, Arousal, Dominance) scores for text inputs. 
 Each model is stored as a separate pickle (.pkl) file:
@@ -66,4 +66,15 @@ with open(model_v_path, "rb") as f:
 valence_score = valence_model.predict([embedding_vector])
 
 print(f"Predicted Valence Score: {valence_score[0]}")
-```
+```
+
+Cite:
+@misc{goldin2025unveilingaffectivepolarizationtrends,
+      title={Unveiling Affective Polarization Trends in Parliamentary Proceedings}, 
+      author={Gili Goldin and Ella Rabinovich and Shuly Wintner},
+      year={2025},
+      eprint={2512.05231},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2512.05231}, 
+}