# Automatic Short Text Summarization Techniques in Social Media Platforms
## 4 ASTS Structure  
The structure of an automatic short text summarization (ASTS) system (Figure 1) can be organized into several key components, each playing a crucial role in the summarization process. It is important to note that the structure and components of an ASTS system may vary based on the specific requirements, domain, and intended use [23]. Advances in natural language processing (NLP) and machine learning techniques continue to impact the development of ASTS systems, resulting in more sophisticated and efficient summarization techniques [24]. Here is a typical structure for an ASTS system:  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Name** & **Domain** & **Source/Language** & **Size** & **Ref. ** \\ \hline Twitter data 2012 & Popular topics & Twitter—Chinese & 50 million tweets & [[https://wiki.illinois.edu/wiki/display/forward/Dataset-UDI-TwitterCrawl-Aug2012](https://wiki.illinois.edu/wiki/display/forward/Dataset-UDI-TwitterCrawl-Aug2012)]([https://wiki.illinois.edu/wiki/display/forward/Dataset-UDI-TwitterCrawl-Aug2012](https://wiki.illinois.edu/wiki/display/forward/Dataset-UDI-TwitterCrawl-Aug2012)) (accessed on 7 August 2023) \\ \hline RepLab 2013 & \begin{tabular}{c} Automotive, \\ banking, universities, \\ and music/artists \\ \end{tabular}  & \begin{tabular}{c} Twitter—English \\ and Spanish \\ \end{tabular}  & \begin{tabular}{c} more than \\ 142,000 tweets \\ \end{tabular}  & [[http://nlp.uned.cs/replab2013/replab2013-dataset.targ](http://nlp.uned.cs/replab2013/replab2013-dataset.targ)]([http://nlp.uned.cs/replab2013/replab2013-dataset.targ](http://nlp.uned.cs/replab2013/replab2013-dataset.targ)) (accessed on 7 August 2023) \\ \hline [PERSON] 2014 & Important events & Twitter—English & 3.4 million tweets & [[https://github.com/andreiolariu/online-summarize](https://github.com/andreiolariu/online-summarize)]([https://github.com/andreiolariu/online-summarize](https://github.com/andreiolariu/online-summarize)) (accessed on 7 August 2023) \\ \hline UKFood 2015 & Disaster events & Twitter—English & 2069 tweets & [[http://cee.iititgp.ac.in/-krudra/Aguist](http://cee.iititgp.ac.in/-krudra/Aguist)]([http://cee.iititgp.ac.in/-krudra/Aguist](http://cee.iititgp.ac.in/-krudra/Aguist)) 2023) \\ \hline Sandyhook 2015 & Disaster events & Twitter—English & 2080 tweets & [[http://cee.iititgp.ac.in/-krudra/Aguist](http://cee.iititgp.ac.in/-krudra/Aguist)]([http://cee.iititgp.ac.in/-krudra/Aguist](http://cee.iititgp.ac.in/-krudra/Aguist)) 2023) \\ \hline Hblast 2015 & Disaster events & Twitter—English & 1413 tweets & [[http://cee.iititgp.ac.in/-krudra/disaster_dataset.html](http://cee.iititgp.ac.in/-krudra/disaster_dataset.html)]([http://cee.iititgp.ac.in/-krudra/disaster_dataset.html](http://cee.iititgp.ac.in/-krudra/disaster_dataset.html)) (accessed on 7 August 2023) \\ \hline Haguppit 2015 & Disaster events & Twitter—English & 1461 tweets & [[http://cee.iititgp.ac.in/-krudra/disaster_dataset.html](http://cee.iititgp.ac.in/-krudra/disaster_dataset.html)]([http://cee.iititgp.ac.in/-krudra/disaster_dataset.html](http://cee.iititgp.ac.in/-krudra/disaster_dataset.html)) (accessed on 7 August 2023) \\ \hline Nepal Earthquake (NEQuake) 2015 & Disaster events & Twitter—English & 1.87 million messages & [[http://cee.iititgp.ac.in/-krudra/nepal_earthquake.html](http://cee.iititgp.ac.in/-krudra/nepal_earthquake.html)]([http://cee.iititgp.ac.in/-krudra/nepal_earthquake.html](http://cee.iititgp.ac.in/-krudra/nepal_earthquake.html)) (accessed on 7 August 2023) \\ \hline LCSTS dataset 2016 & Generic & Sina Weibo—Chinese & \begin{tabular}{c} 2,400,591 \\ text–summary pairs, \\ 10,666 text–summary pairs and 1106 \\ \end{tabular}