The experiments were conducted in a Jupyter 6.5.4 IDE environment, 
installed on a Windows 10 platform with an Intel Core i7 processor, 
16.0 GB RAM. 
Python 3.11.5 was used for the experiments with Keras 2.15.0 and TensorFlow 2.15.0, as the primary frameworks 
for building and training the neural network models. 
The Pytorch library was also utilized to handle tensor operations and generate BERT embeddings. 
Numpy 1.24.3, pandas 2.0.3, NLTK 3.8.1, and Gensim 4.3.0, were used in the experiments