Creating a Text Summarization Tool to Combat the Overload of Information

Challenge Background

Despite the availability of a vast amount of information in today's world, we often face time constraints that make it impossible to read everything. Text summarization addresses this problem by reducing the amount of time required to consume large volumes of information while still maintaining the key points and ideas of the text.

With the help of text summarization techniques, we can quickly extract the most important information from long articles, research papers, and other types of documents. This can be especially helpful for people who need to keep up with the latest research or news but don't have enough time to read everything thoroughly.

Additionally, text summarization can be used to create condensed versions of lengthy documents that are easier to understand for individuals who are not experts in the subject matter.

Overall, text summarization can save time and increase productivity, making it a valuable tool in today's fast-paced world.

The Problem

The problem that the "Text Summarization" project aims to solve is the overwhelming amount of information available to people in today's digital age.

By building a "Text Summarization" project, we aim to help people quickly and efficiently digest large amounts of information. The project will leverage natural language processing and machine learning techniques to summarize large amounts of text into concise, easy-to-read summaries. This will save people time and effort, allowing them to quickly identify important information and stay up-to-date with the latest developments in their field.

The impact of this project on our local community will be significant. It will help individuals, organisations, and businesses in our community stay informed and make better decisions. Additionally, it will empower people who may struggle with reading long articles or documents due to language barriers or other factors. Overall, the "Text Summarization" project will help to increase access to information, save time, and improve decision-making in our local community.

Goal of the Project

In this project, the Omdena Kolkata, India Chapter team aims to develop a text summarization tool using an NLP model that will summarize the large text.

With a duration of 8-weeks, this project aims to:

• Data Collection
• Exploratory Data Analysis
• Preprocessing
• Model Development and Training
• Evaluate Model
• App development

Project Timeline

What you'll learn

Participants in this project will gain valuable skills and experiences in data science, machine learning, and NLP, which will enhance their professional development and enable them to apply these skills in various domains and industries.