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Making sense of news data: Can natural language processing help? 

2/4/2016

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At the Media Impact Project we are continuously searching for new and innovative approaches to processing media data. In our work to develop taxonomies for news organizations it has become increasingly apparent that there is a need for technologies that can effectively understand and analyze language.  Natural language processing (NLP) involves numerous programs that have the potential to be useful in these ways to news media.
 
To get a better handle on natural language processing and its practical uses and applications, the Media Impact Project commissioned a primer to the field. The paper, written by Dr. Atefeh Farzindar at NLP Technologies, surveys the broad sectors of NLP techniques and considers their value in various settings.   
 
As this field continues to evolve, the Media Impact Project plans to remain engaged in assessing best practices for NLP technologies in news media.  


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The Norman Lear Center's Media Impact Project researches how entertainment and news influence our thoughts, attitudes, beliefs, knowledge and actions. We work with researchers, film and TV pros, nonprofits, and news organizations, and share our research with all.  We are part of USC's Annenberg School for Communication and Journalism.