Applying Media Intelligence for Processing the Content of Web Publications
Applying Media Intelligence for Processing the Content of Web Publications

Author(s): Plamen Milev
Subject(s): Social Sciences, Economy, Media studies, Business Economy / Management, Communication studies, Sociology, Social Informatics, ICT Information and Communications Technologies
Published by: Университет за национално и световно стопанство (УНСС)
Keywords: Media Intelligence; Web Publications; Natural Language Processing; Digital Media; Data Analytics
Summary/Abstract: The rapid evolution of the digital media landscape necessitates advanced tools and approaches to analyze and understand the content of web publications. This paper presents a conceptual framework for applying media intelligence to process and analyze media content, using data analytics, machine learning, and natural language processing (NLP) techniques. The study focuses on the use of NLP for sentiment analysis and topic modeling, as well as categorization algorithms to group content by themes and geographic parameters. Preliminary findings demonstrate that media intelligence provides significant insights into the prevailing trends and public sentiment within digital media, offering a foundation for future research aimed at enhancing the understanding of media influence on public perception.

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