Text-Classification-Model-using-LSTM-and-word2vec-vectorization
PublicThis repository contains a text classification model using LSTM, Word2Vec embeddings, and the Adam optimizer for efficient training and classification of textual data. The model classifies textual data based on pre-trained word vectors and is built with TensorFlow and Keras.