Add to ORKGWe present the EKNOT system that automatically discovers major events from online news articles, connects each event to its discussion on Twitter, and provides a comprehensive summary of the events from both news media and social media’s point of view. EKNOT takes a time period as input and outputs a complete picture of what happened and the public’s opinions. For each event, EKNOT provides multi-dimensional summaries: a) a summary from news for an objective description; b) a summary from tweets containing opinions/sentiments; c) an en- tity graph which illustrates the major players involved and their correlations; d) the time span of the event; and e) an opinion (sentiment) distribution. A user-friendly interface is provided to facilitate ...
Big Data is "things that one can do at a large scale that cannot be done at a small one". Analyzing ...
During the past decade, we have witnessed the emergence of social media, which has prominence as a m...
In this research thesis, we investigate new methods for crowd-oriented event detection in social med...
We present the EKNOT system that automatically discovers major events from online news articles, con...
The online social networks have experienced an unprecedented proliferation. Various platforms change...
This is the final version. Available on open access from Springer via the DOI in this recordThe huge...
ECML/PKDD 2014: European Conference on Machine Learning and Knowledge Discovery in Databases, Nancy,...
Individuals often express their opinions on social media platforms like Twitter and Facebook during ...
Social media has become one indispensable part of people’s daily life, as it records and reflects pe...
A major event often has repercussions on both news media and microblogging sites such as Twitter. Re...
A major event often has repercussions on both news media and microblogging sites such as Twitter. Re...
Due to its popularity, Twitter is currently one of the major players in the global network, which ha...
In this thesis, we seek to find suitable methods for detecting news on Twitter within the fields of ...
Nowadays, the importance of Social Media is constantly growing, as people often use such platforms t...
Twitter has become the social network of news and journalism. Monitoring what is said on Twitter is ...
Big Data is "things that one can do at a large scale that cannot be done at a small one". Analyzing ...
During the past decade, we have witnessed the emergence of social media, which has prominence as a m...
In this research thesis, we investigate new methods for crowd-oriented event detection in social med...
We present the EKNOT system that automatically discovers major events from online news articles, con...
The online social networks have experienced an unprecedented proliferation. Various platforms change...
This is the final version. Available on open access from Springer via the DOI in this recordThe huge...
ECML/PKDD 2014: European Conference on Machine Learning and Knowledge Discovery in Databases, Nancy,...
Individuals often express their opinions on social media platforms like Twitter and Facebook during ...
Social media has become one indispensable part of people’s daily life, as it records and reflects pe...
A major event often has repercussions on both news media and microblogging sites such as Twitter. Re...
A major event often has repercussions on both news media and microblogging sites such as Twitter. Re...
Due to its popularity, Twitter is currently one of the major players in the global network, which ha...
In this thesis, we seek to find suitable methods for detecting news on Twitter within the fields of ...
Nowadays, the importance of Social Media is constantly growing, as people often use such platforms t...
Twitter has become the social network of news and journalism. Monitoring what is said on Twitter is ...
Big Data is "things that one can do at a large scale that cannot be done at a small one". Analyzing ...
During the past decade, we have witnessed the emergence of social media, which has prominence as a m...
In this research thesis, we investigate new methods for crowd-oriented event detection in social med...