DeepAI AI Chat
Log In Sign Up

An Event Detection Approach Based On Twitter Hashtags

04/02/2018
by   Shih-Feng Yang, et al.
Purdue University
0

Twitter is one of the most popular microblogging services in the world. The great amount of information within Twitter makes it an important information channel for people to learn and share news. Twitter hashtag is an popular feature that can be viewed as human-labeled information which people use to identify the topic of a tweet. Many researchers have proposed event-detection approaches that can monitor Twitter data and determine whether special events, such as accidents, extreme weather, earthquakes, or crimes take place. Although many approaches use hashtags as one of their features, few of them explicitly focus on the effectiveness of using hashtags on event detection. In this study, we proposed an event detection approach that utilizes hashtags in tweets. We adopted the feature extraction used in STREAMCUBE and applied a clustering K-means approach to it. The experiments demonstrated that the K-means approach performed better than STREAMCUBE in the clustering results. A discussion on optimal K values for the K-means approach is also provided.

READ FULL TEXT

page 1

page 2

page 3

page 4

06/20/2018

Extracting News Events from Microblogs

Twitter stream has become a large source of information for many people,...
10/01/2020

Event Detection in Twitter by Weighting Tweet's Features

In recent years, people spend a lot of time on social networks. They use...
05/28/2017

A Deep Multi-View Learning Framework for City Event Extraction from Twitter Data Streams

Cities have been a thriving place for citizens over the centuries due to...
11/13/2012

ET-LDA: Joint Topic Modeling for Aligning Events and their Twitter Feedback

During broadcast events such as the Superbowl, the U.S. Presidential and...
04/04/2023

Thematic context vector association based on event uncertainty for Twitter

Keyword extraction is a crucial process in text mining. The extraction o...
03/06/2017

Performing Stance Detection on Twitter Data using Computational Linguistics Techniques

As humans, we can often detect from a persons utterances if he or she is...