Social Media Text Summarization: A Survey Towards a Transformer-based System Design

Abstract

Daily life is characterized by a great explosion of abundance of information available on the internet and social media. Smart technology has radically changed our lives, giving a leading role to social media for communication, advertising, information and exchange of opinions. Managing this huge amount of data by humans is an almost impossible task. Adequacy of summarizing texts is therefore urgently needed, in order to offer people knowledge and information avoiding time-consuming procedures. Various text summarization techniques are already widely used. Artificial intelligence techniques for automated text summarization are a major undertaking. Due to the recent development of neural networks and deep learning models like Transformers, we can create more efficient summaries. This paper reviews text summarisation approaches on social media and introduces our approach towards a summarization system using transformers.