TRED : Twitter based Realtime Event-location Detector
نویسندگان
چکیده
منابع مشابه
Realtime Time Synchronized Event-based Stereo
In this work, we propose a novel event based stereo method which addresses the problem of motion blur for a moving event camera. Our method uses the velocity of the camera and a range of disparities, to synchronize the positions of the events, as if they were captured at a single point in time. We represent these events using a pair of novel time synchronized event disparity volumes, which we s...
متن کاملAn Evidence Based Earthquake Detector using Twitter
This paper presents a notification system to identify earthquakes from firsthand reports published on Twitter. Tweets from target regions in Australia and New Zealand are checked for earthquake keyword frequency bursts and then processed to identify evidence of an earthquake. The benefit of our earthquake detector is that it relies on evidence of firsthand ‘felt’ reports from Twitter, provides ...
متن کاملGraph-based Event Extraction from Twitter
Detecting which tweets describe a specific event and clustering them is one of the main challenging tasks related to Social Media currently addressed in the NLP community. Existing approaches have mainly focused on detecting spikes in clusters around specific keywords or Named Entities (NE). However, one of the main drawbacks of such approaches is the difficulty in understanding when the same k...
متن کاملIdentifying Twitter Location Mentions
This paper describes our system in the ALTA shared task 2014. The task is to identify location mentions in Twitter messages, such as place names and point-ofinterests (POIs). We formulated the task as a sequential labelling problem, and explored various features on top of a conditional random field (CRF) classifier. The system achieved 0.726 mean-F measure on the held-out evaluation data. We di...
متن کاملEvent Detection in Twitter
Twitter, as a form of social media, is fast emerging in recent years. Users are using Twitter to report real-life events. This paper focuses on detecting those events by analyzing the text stream in Twitter. Although event detection has long been a research topic, the characteristics of Twitter make it a non-trivial task. Tweets reporting such events are usually overwhelmed by high flood of mea...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: KIPS Transactions on Software and Data Engineering
سال: 2015
ISSN: 2287-5905
DOI: 10.3745/ktsde.2015.4.8.301