Text Summarization Techniques and Applications
This work aims to explore different techniques of text summarization and evaluate them on different parameters such as the extent of compression/summarization, retention of meaning/gist, and grammatical errors.
Abstract
A person does not need to go through pages of articles for a given topic to understand the gist; a mere summary is more than sufficient in many cases. This has given rise to many apps that crunch through hundreds of articles to generate a personalized feed of summaries that a user can go through. With more and more people having access to the internet, lots of information is being created and shared online. This gives us the luxury of having it just a click away from consumption. However, not all of this information is filtered and cleared from the noise. This work aims to explore different techniques of text summarization and evaluate them on different parameters such as the extent of compression/summarization, retention of meaning/gist, and grammatical errors.