This document summarizes a research paper that proposes a bidirectional LSTM model with attention mechanism and convolutional layer for text classification. The model uses a convolutional layer to extract features, a bidirectional LSTM to capture contextual information, and an attention mechanism to highlight important contextual features. It is evaluated on the IMDB movie review dataset, obtaining state-of-the-art results. Future work includes completing the model training, modifying the attention mechanism, and testing on other datasets.