A New Mashup Based Method for Event Detection from Social Media

Troudi, Abir; Zayani, Corinne Amel; Jamoussi, Salma; Amous, Ikram

doi:10.1007/s10796-018-9828-9

Cited by 13 publications

(6 citation statements)

References 17 publications

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“…Troudi et al (2018) and Avvenuti et al (2018), use Bbig data^framework to develop useful information systems. Troudi et al (2018) report a new mashup based method for event detection from social media using the Hadoop framework. They attempt bilingual event detection for English and French.…”

Section: Application Of Machine Learningmentioning

confidence: 99%

Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends

Ghosh

Ganguly

et al. 2018

Inf Syst Front

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Online Social Media, such as Twitter, Facebook and WhatsApp, are important sources of real-time information related to emergency events, including both natural calamities, man-made disasters, epidemics, and so on. There has been lot of recent work on designing information systems that would be useful for aiding post-disaster relief operations, as well as for pre-disaster preparedness. A special issue on BExploitation of Social Media for Emergency Relief and Preparedness^was conducted for the journal Information Systems Frontiers. The objective of this special issue was to present a platform for dissemination of the empirical results of various technologies for extracting vital and actionable information from social media content in disaster situations. The papers included in this issue are expected to be the stepping stones for future explorations and technical innovations towards technologies meant for utilizing various online and offline information sources for enhancing pre-disaster preparedness and post-disaster relief operations.

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Section: Application Of Machine Learningmentioning

confidence: 99%

Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends

Ghosh

Ganguly

et al. 2018

Inf Syst Front

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“…This technique can more accurately identify and analyze hot events on social media and obtain key information about the events in a timely manner. Allan [65] introduced a real-time ED algorithm based on convolutional neural networks, with the aim of detecting unexpected events in tweets. It uses these tweets as input data for ED, and employs a convolutional neural network to detect the characteristic keywords related to earthquake in real time and with high accuracy.…”

Section: Event Detectionmentioning

confidence: 99%

A Survey on Event Tracking in Social Media Data Streams

Han,

Shi,

Liu

et al. 2024

Big Data Min. Anal.

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Social networks are inevitable parts of our daily life, where an unprecedented amount of complex data corresponding to a diverse range of applications are generated. As such, it is imperative to conduct research on social events and patterns from the perspectives of conventional sociology to optimize services that originate from social networks. Event tracking in social networks finds various applications, such as network security and societal governance, which involves analyzing data generated by user groups on social networks in real time. Moreover, as deep learning techniques continue to advance and make important breakthroughs in various fields, researchers are using this technology to progressively optimize the effectiveness of Event Detection (ED) and tracking algorithms. In this regard, this paper presents an in-depth comprehensive review of the concept and methods involved in ED and tracking in social networks. We introduce mainstream event tracking methods, which involve three primary technical steps: ED, event propagation, and event evolution. Finally, we introduce benchmark datasets and evaluation metrics for ED and tracking, which allow comparative analysis on the performance of mainstream methods. Finally, we present a comprehensive analysis of the main research findings and existing limitations in this field, as well as future research prospects and challenges.

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“…The examples in Table 2 demonstrate that the development of social media analytics applications for emergency management is already advanced and offering a variety of approaches with different strengths, while all of them express a demand for improvement and more accuracy. Especially, the processing time can be very long, because of the volume of data and the need of human input for labels (Troudi et al 2018) and some authors argue that natural language processing needs to be improved (Aupetit and Imran 2017;Luchetti et al 2017). Also, the automatic classifications could be more detailed and more robust, which implies the need for more detailed test labels (Alam et al 2020;X.…”

Section: Use Information Filtering Carefullymentioning

confidence: 99%

Social Media Data in an Augmented Reality System for Situation Awareness Support in Emergency Control Rooms

et al. 2021

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During crisis situations, emergency operators require fast information access to achieve situation awareness and make the best possible decisions. Augmented reality could be used to visualize the wealth of user-generated content available on social media and enable context-adaptive functions for emergency operators. Although emergency operators agree that social media analytics will be important for their future work, it poses a challenge to filter and visualize large amounts of social media data. We conducted a goal-directed task analysis to identify the situation awareness requirements of emergency operators. By collecting tweets during two storms in Germany we evaluated the usefulness of Twitter data for achieving situation awareness and conducted interviews with emergency operators to derive filter strategies for social media data. We synthesized the results by discussing how the unique interface of augmented reality can be used to integrate social media data into emergency control rooms for situation awareness support.

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A New Mashup Based Method for Event Detection from Social Media

Cited by 13 publications

References 17 publications

Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends

Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends

A Survey on Event Tracking in Social Media Data Streams

Social Media Data in an Augmented Reality System for Situation Awareness Support in Emergency Control Rooms

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