Abstract:
"
Majority of the world has become a data driven economy, where a large corpus of
data is processed by machine learning models and AI. These systems utilize these
large amounts of data for predictions, analytics, translations, speech and more. Online
forums and communities spread and grow like wildfire. And as data and information
become more and more accessible to the general populace, so does the amount of
questions people will ask in their pursuit of knowledge and curiosity. This project
aims to help users reach a suitable audience on online communities with the aid of
summary abstraction during the question composition process. The implemented
system would help to get sufficient attention from experts in the question domain.
This also plans to minimize the potential errors due to manual entry of the certain
question data. A RoBERTa and Encoder-Decoder model are used in this project to
process the body of a question and summarize it into a suitable title for the question"
