Automated Framing Analysis: A Rule Based System for News Media Text
Automated Framing Analysis: A Rule Based System for News Media Text
Author(s): Mihai D. SturdzaSubject(s): Media studies, Theory of Communication
Published by: Accent Publisher
Keywords: Frame analysis; Automated; Semantic network; Parser; Sentiment analysis.
Summary/Abstract: The number of available digital texts grows exponentially creating a need for automated framing analysis. Using computational linguistics to identify framing functions in news articles represents a cost effective method for examining large amounts of data. The proof of concept described in this paper is a rule based system that automatically identifies framing functions present in news. The proposed system identifies the morphological, syntactical, and relational information of each word of the news article text using a parser. A set of rules is applied to the semantic role of each word enabling an automated detection of framing functions using sentiment analysis.
Journal: Journal of Media Research - Revista de Studii Media
- Issue Year: 11/2018
- Issue No: 32
- Page Range: 94-110
- Page Count: 17
- Language: English
- Content File-PDF
