TEXT SUMMARIZER USING BART

Abstract

With the exponential growth of digital data, the ability to quickly and efficiently
process large amounts of text data has become increasingly important. Text summarization is
a key tool in natural language processing (NLP) that enables users to quickly understand the
key points of a document without reading through the entire text. Text summarization has a
wide range of applications, including news summarization, document summarization. The
data owner will upload the files into the system and double encryption is used on the file. The
generated cipher text is going to be divided into seven fragments. These fragments will
upload into the firebase cloud. The user can download the files by requesting the file key. The
user will receive the key via email after a request processed by the data owner. If the key is
valid the file will download. while downloading the seven fragments will combine as a single
fragment and double description will apply on the file. The plain text will be downloaded as a
text file. The cloud can track the upload and downloads, the cloud can view data owners and
data user’s details.