Towards SoMEST – Combining Social Media Monitoring with Event Extraction and Timeline Analysis

An Event Reconstruction Tool for Conflict Monitoring Using Social Media

What happened during the Boston Marathon in 2013? Nowadays, at any major event, lots of people take videos and share them on social media. To fully understand exactly what happened in these major events, researchers and analysts often have to examine thousands of these videos manually. To reduce this manual effort, we present an investigative system that automatically synchronizes these videos ...

Timeline Summarization for Event-related Facts and Public Issues on a Chinese Social Media Platform

Social Media Understanding by Word Cloud Timeline

Text from social media is significant key information to understand social movement. However, the length of the social media text is typically short and concise with a lot of absent words. Our task is to identify the proper keyword representing the message content that we are accounting for. Instead of training the model for keyword extraction directly from the Twitter messages, we propose a ne...

Extracting Events from Web Documents for Social Media Monitoring Using Structured SVM

Event extraction is vital to social media monitoring and social event prediction. In this paper, we propose a method for social event extraction from web documents by identifying binary relations between named entities. There have been many studies on relation extraction, but their aims were mostly academic. For practical application, we try to identify 130 relation types that comprise 31 prede...

Towards Open Domain Event Extraction from Twitter: REVEALing Entity Relations

In the past years social media services received content contributions from millions of users, making them a fruitful source for data analysis. In this paper we present a novel approach for mining Twitter data in order to extract factual information concerning trending events. Our approach is based on relation extraction between named entities, such as people, organizations and locations. The e...