The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Enhanced Event Detection in Twitter Through Feature Analysis
Abstract
The Digital era has the benefits in unearthing a large amount of imperative material. One such digital document is social media data, which when processed can give rise to information which can be helpful to our society. One of the many things that we can unearth from social media is events. Twitter is a very popular microblog that encompasses fruitful and rich information on real world events and popular topics. Event detection in view of situational awareness for crisis response is an important need of the current world. The identification of tweets comprising information that may assist in help and rescue operation is crucial. Most pertinent features for this process of identification are studied and the inferences are given in this article. The efficiency and practicality of the features are discussed here. This article also presents the results of experimentation carried out to assess the most relevant combination of features for improved performance in event detection from Twitter.
Related Content
Nitesh Behare, Rashmi D. Mahajan, Meenakshi Singh, Vishwanathan Iyer, Ushmita Gupta, Pritesh P. Somani.
© 2024.
36 pages.
|
Shikha Mittal.
© 2024.
21 pages.
|
Albérico Travassos Rosário.
© 2024.
31 pages.
|
Carla Sofia Ribeiro Murteira, Ana Cristina Antunes.
© 2024.
23 pages.
|
Mario Sierra Martin, Alvaro Díaz Casquero, Marina Sánchez Pérez, Bárbara Rando Rodríguez.
© 2024.
17 pages.
|
Poornima Nair, Sunita Kumar.
© 2024.
18 pages.
|
Neli Maria Mengalli, Antonio Aparecido Carvalho.
© 2024.
16 pages.
|
|
|