In the current day, there is an overwhelming amount of content out there. Oftentimes, people are only interested in learning about specific types of events, and do not want to spend time browsing irrelevant content to find news about those events, if they have even occurred. Together, we have created a piece of software that uses the tools of natural language processing to automatically detect events our users are interested in, and send them relevant content when those events have occurred
People use Online Social Networks (OSNs) to express their opinions and feelings about many topics. D...
Now a day’s Social media is major channel of communication between individuals and organizations. Hu...
Social media applications such as Twitter provide a powerful medium through which users can communic...
In the current day, there is an overwhelming amount of content out there. Oftentimes, people are onl...
According to the World Health Organization (WHO), around 60% of all outbreaks are detected using inf...
Social media platforms have many users who share their thoughts and use these platforms to organize ...
Environmental scanning, the acquisition and use of the information about events, trends, and relatio...
The web has become the fastest growing and the most up to date source of information. Web mining is ...
Detecting events from one or more temporally-ordered stream(s) of documents (e.g. news articles, blo...
Extracting the reported events from text is one of the key research themes in natural language proce...
This paper discusses the implementation and evaluation of a new-event detection system. We focus on ...
Abstract Interactions via social media platforms have made it possible for anyone, irrespective of p...
The proliferation of social media and user-generated content in the Web has opened new opportunities...
We present an online multilingual system for event detection and comprehension from media feeds. The...
News consumption patterns are changing, but the tools to view news are dominated by portal and searc...
People use Online Social Networks (OSNs) to express their opinions and feelings about many topics. D...
Now a day’s Social media is major channel of communication between individuals and organizations. Hu...
Social media applications such as Twitter provide a powerful medium through which users can communic...
In the current day, there is an overwhelming amount of content out there. Oftentimes, people are onl...
According to the World Health Organization (WHO), around 60% of all outbreaks are detected using inf...
Social media platforms have many users who share their thoughts and use these platforms to organize ...
Environmental scanning, the acquisition and use of the information about events, trends, and relatio...
The web has become the fastest growing and the most up to date source of information. Web mining is ...
Detecting events from one or more temporally-ordered stream(s) of documents (e.g. news articles, blo...
Extracting the reported events from text is one of the key research themes in natural language proce...
This paper discusses the implementation and evaluation of a new-event detection system. We focus on ...
Abstract Interactions via social media platforms have made it possible for anyone, irrespective of p...
The proliferation of social media and user-generated content in the Web has opened new opportunities...
We present an online multilingual system for event detection and comprehension from media feeds. The...
News consumption patterns are changing, but the tools to view news are dominated by portal and searc...
People use Online Social Networks (OSNs) to express their opinions and feelings about many topics. D...
Now a day’s Social media is major channel of communication between individuals and organizations. Hu...
Social media applications such as Twitter provide a powerful medium through which users can communic...