In the last few years, Twitter has become a popular platform for sharing opinions, experiences, news, and views in real-time. Twitter presents an interesting opportunity for detecting events happening around the world. The content (tweets) published on Twitter are short and pose diverse challenges for detecting and interpreting event-related information. This article provides insight into ongoing research. It explores recent research trends and techniques for event detection using Twitter data. We classify techniques and methodologies according to event types, orientation of content, event detection tasks, their evaluation, and common practices. We highlight the limitations of existing techniques and accordingly propose solutions

A huge amount of data is generated every second on social media. Event and topic detection must address both scalability and accuracy challenges when using enormous and noisy data collections from social media. Documents describing the same event and story have a similar set of collocated keywords that can be used to identify the event time and its description. In this work, we propose a novel graph-based approach, called the Enhanced Heartbeat Graph (EHG), which does not only detect events at an early stage but also suppresses event-related topics in the upcoming text stream in order to highlight other micro details. We have compared the proposed approach with ten state-of-the-art approaches for event detection. Experiment results on real-world data (i.e., Football Association Challenge Cup Final, Super Tuesday, and the US Election 2012) show considerable improvement in most cases, while computational complexity remains very attractive.

This study observes the phenomenon of organizational performance with the lens of dynamic capabilities. This study investigates the impact of dynamic capabilities on organizational performance, taking organizational competencies as moderating variable, focusing on a paper industry at Lahore, Pakistan. The measurement of dynamic capabilities is based on the multi-dimensional construct underlying the four main factors which include i.e. Sensing, Learning, strong coordination, and competitive response to the rivals. This will lead to explore relationship of dynamic capabilities with organizational performance. Empirical research posits that dynamic capabilities have a direct impact on the organizational performance of the firm. It also proves that organizational competencies have positive moderating role in relationship of organizational performance and dynamic capabilities. This suggests that the direct relationship between dynamic capabilities and performance is insignificant.