Detecting suicidality on Twitter
نویسندگان
چکیده
a Black Dog Institute, The University of New South Wales, Hospital Road, Randwick, NSW 2031, Australia b Commonwealth Scientific and Industrial ResearchOrganisation (CSIRO) Information andCommunication Technology Centre, Corner ofVimiera and PembrokeRoads,Marsfield, NSW2122, Australia c National Institute for Mental Health Research, Building 63, The Australian National University, Canberra ACT 2601, Australia
منابع مشابه
A Model for Detecting of Persian Rumors based on the Analysis of Contextual Features in the Content of Social Networks
The rumor is a collective attempt to interpret a vague but attractive situation by using the power of words. Therefore, identifying the rumor language can be helpful in identifying it. The previous research has focused more on the contextual information to reply tweets and less on the content features of the original rumor to address the rumor detection problem. Most of the studies have been in...
متن کاملDetecting Changes in Twitter Streams using Temporal Clusters of Hashtags
Detecting events from social media data has important applications in public security, political issues, and public health. Many studies have focused on detecting specific or unspecific events from Twitter streams. However, not much attention has been paid to detecting changes, and their impact, in online conversations related to an event. We propose methods for detecting such changes, using cl...
متن کاملDetecting Emergency Events and Geo-Location Awareness from Twitter Streams
the rapidly increasing number of messages on twitter is quite interesting. Through twitter streaming, this paper is capable of delivering tweets for any keywords from clients all around the world or Hashtag in real-time. However, semantic topic extraction and tracking the userinterested news events from messages on twitter can be considered as a challenging task. In this paper focused on detect...
متن کاملA High-Performance Model based on Ensembles for Twitter Sentiment Classification
Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are numerous web sites built on the Internet presenting Twitter. The user can enter a sentiment ta...
متن کاملDetecting Events from Twitter in Real-time
Detecting Events from Twitter in Real-Time by Siqi Zhao Twitter is one of the most popular online social networking sites. It provides a unique and novel venue of publishing: it has over 500 million active users around the globe; tweets are brief, limited to 140 characters, an ideal way for people to publish spontaneously. As a result, Twitter has the short delays in reflecting what its users p...
متن کامل