Quick Tweet Analysis Using NLP

Abstract

: Twitter (currently known as X) is the most important platform and reference point where users can share news and express their opinions on events. This unique comparison of incident alerts, combined with its wealth of information and insight, highlights the importance of Twitter in incident alerts. As a result, Twitter content becomes an important tool that can provide a quick picture of any situation. But the abundance of Twitter content brings its own challenges, such as abbreviations, bad words and error messages. These nuances make extracting reliable and useful information from Twitter a difficult task, especially when short texts are used.

There is no doubt that recording events on Twitter is difficult and requires newer techniques than writing articles. Over the years, many studies have investigated different strategies for automatic Twitter content collection. This research aims to provide an overview of these commitments in the context of Twitter. Particular attention is paid to the evaluation of the collection process and the quality assessment of the state's evaluation process. The research concludes by presenting current and future research challenges in the field   and   provides   a   detailed   overview.