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• W2148012016 abstract "As a subtask of qualitative media reputa- tion research, human annotators manually encode the polarity of actors in media prod- ucts. Seeking to automate this process, we have implemented two baseline classifiers that categorize actors in newspaper articles under six and four polarity classes. Experi- ments have shown that our approach is not suitable for distinguishing between six fine- grained classes, which has turned out to be difficult for humans also. In contrast, we have obtained promising results for the four class model, through which we argue that automated sentiment analysis has a consid- erable potential in qualitative reputation re- search." @default.
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• W2148012016 date "2012-09-19" @default.
• W2148012016 modified "2023-09-23" @default.
• W2148012016 title "Sentiment Analysis for Media Reputation Research" @default.
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• W2148012016 doi "https://doi.org/10.5167/uzh-64978" @default.
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