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- W2515969066 abstract "Especially due to the recent expansion of social media platforms, researchers and practitioners exert ever growing efforts to advance big data analytics techniques to derive actionable insights from social networks. Although a substantial body of research has shown that readability is of vital importance for the success of text-based communication, currently it is rarely considered in social media research or especially microblogging. In this research project, we intend to develop a readability measure for microblogging messages that is applicable to large scale data analysis and also provides concrete formulation recommendations for single messages. We will combine text mining and machine learning techniques to analyze a sample of approximately 6.8 million Twitter messages from and about 33 large S&P 100 companies to develop a respective readability measure." @default.
- W2515969066 created "2016-09-16" @default.
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- W2515969066 date "2016-01-01" @default.
- W2515969066 modified "2023-10-13" @default.
- W2515969066 title "Developing and Evaluating a Readability Measure for Microblogging Communication" @default.
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- W2515969066 doi "https://doi.org/10.1007/978-3-319-45408-5_25" @default.
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