Utilizing Deep Learning Techniques for Text and Image Capturing Summarization in Information Retrievals

In this paper, a novel information retrieval and text summarization model based on deep learning (DL) is introduced. The comprises three primary stages, including retrieval, template generation, summarization. initial step involves utilizing bidirectional long short term memory (BiLSTM) technique to retrieve textual data. This approach considers each word in sentence, extracts relevant information, converts it into semantic vector.