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• W2897526470 abstract "Computational text analysis is continuously becoming richer in ways the author of a text is ‘read’ in terms of the states and traits of the person behind the words such as writer’s age, gender, personality, emotion or sentiment to name but a few. Similarly, in the analysis of spoken language, one finds a broadening palette of such characteristics of speakers automatically analysed in recent Computational Paralinguistics research. It seems wise to assess these characteristics in one pass to understand their interrelationship rather than going one by one in isolation. As an example, it may help to estimate one’s personality knowing the age, gender, and cultural background of the person. Thus, a holistic approach is advocated that aims at automatically assessing the ‘larger’ picture of a person that wrote or spoke words of analysis. Here, a short motivation and inspirations ‘en route’ to holistic author and word-based speaker profiling are given." @default.
• W2897526470 created "2018-10-26" @default.
• W2897526470 creator A5019651318 @default.
• W2897526470 date "2018-01-01" @default.
• W2897526470 modified "2023-09-27" @default.
• W2897526470 title "Reading the Author and Speaker: Towards a Holistic and Deep Approach on Automatic Assessment of What is in One’s Words" @default.
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• W2897526470 doi "https://doi.org/10.1007/978-3-319-77116-8_20" @default.
• W2897526470 hasPublicationYear "2018" @default.
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