TrendMiner: Large-scale cross-lingual trend mining summarization of real-time media streams Articles uri icon

publication date

  • September 2014

start page

  • 163

end page

  • 166

volume

  • 53

International Standard Serial Number (ISSN)

  • 1135-5948

Electronic International Standard Serial Number (EISSN)

  • 1989-7553

abstract

  • The recent massive growth in online media and the rise of user-authored content (e.g weblogs, Twitter, Facebook) has led to challenges of how to access and interpret the strongly multilingual data, in a timely, efficient, and affordable manner. The goal of this project is to deliver innovative, portable open-source real-time methods for cross-lingual mining and summarization of large-scale stream media. Results are validated in three high-profile case studies: financial decision support (with analysts, traders, regulators, and economists), political analysis and monitoring (with politicians, economists, and political journalists) and monitoring patient postings in the health domain to detect adverse drug reactions. © 2014 Sociedad Española para el Procesamiento del Lenguaje Natural.

keywords

  • financial analysis in social media; language technologies in health social media; social media streams; summarization