DO YOU NEED TO CLUSTER AND CLASSIFY AUTOMATICALLY MULTILINGUAL AND MULTIMEDIA CONTENTS?
Organizing the multimedia information without caring about the language allows a more efficient exploitation
The explosion of information that is the increasing number and variety of formats we are experiencing increases the risk of “information overload” for companies and organizations. It has never been so necessary -and difficult- to extract the meaning of this whole cacophony of media, news, opinions, etc. in numerous languages and formats… in real time.
That is why many organizations turn to communication agencies, monitoring and media analysis companies, and competitive intelligence and market suppliers that help them to detect and understand the more quickly possible the threats and opportunities in their environment.
It is essential in this new context to count on technologies, resources and processes that make possible to reliably and efficiently:
Cluster news and other contents that deal with the same subject or have some shared criteria.
Identify and remove (deduplicate) redundant contents.
Classify them according to standard or customized taxonomies (for ex., IPTC or Eurovoc) to find and use them later.
Tag contents according to their meanings, extract predefined entities and identify new others.
Automatically prepare summaries that reflect the essence of the content.
Limitations of the current technology
Many activities that are necessary for the contents classification and clustering are made by manual processes suffering from serious limitations:
High costs associated to a specialized staff.
Delays in the information processing.
Impossibility to navigate, link, analyze and make sophisticated processes about the contents.
Difficulty to scale up when the volumes of information to be processed increase.
Daedalus helps you
The Daedalus technology of information classification and clustering (integrated in the STILUS Class product), combined with the Named entity recognition products (like STILUS NER), makes the organization of the information and its subsequent consultation easier.
Do you want to know our solutions for the automatic content classification and tagging?
