Review of S3 Data Summarization and Visualization

Storing and managing data has always been a challenge, but with the advent of AI and deep learning, the amount of data produced has grown dramatically, known as Big Data. The sheer volume of unstructured data, including files such as audio, video, images, and social media data, can make it difficult to effectively leverage the information. With so much data in S3, it becomes challenging for organizations to handle and process these documents in a timely manner. To effectively organize big data of text files, it is crucial to analyze and sort the data based on their specific domain. For this purpose, we will be using Natural Language Processing (NLP) extensively for preprocessing and analyzing the text data, which will be used in our topic modeling algorithm. With this solution, we aim to provide a text summary and important highlights visualization of data stored in the S3 Bucket.