id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
aiti-13523	Souaad Hamza-Cherif; Lamia Fatiha Kazi Tani; Nesma Settouti	Improving Healthcare Communication: AI-Driven Emotion Classification in Imbalanced Patient Text Data with Explainable Models	2024	14	.pdf	application/pdf	8204	368	46	These methodologies aim to shed light on how classification models arrive at their predictions. 2, which displays an exploration of different re-sampling methods, then a comparison of basic classification models (logistic regression, NB, LightGBM) with different vectorization models (CBOW, TF-IDF, and Word2vec) and in parallel an implementation of recurrent deep learning networks is placed: the LSTM sequential model and BERT to compare the performance of the convolutional classifier with the base models.	cache/aiti-13523.pdf	txt/aiti-13523.txt