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Network Analysis for Literature| old_uid | 15513 |
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| title | Network Analysis for Literature |
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| start_date | 2018/03/06 |
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| schedule | 14h |
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| online | no |
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| location_info | salle Cavaillès |
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| details | Natural language processing for Digital Humanities |
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| summary | The automatic analysis of works of literature such as novels or poems is an interesting and intricate application for natural language processing. Literature not only poses a challenge by being a text type considerably different from the newspaper texts that most NLP tools are trained on, it also opens up intriguing new research questions, including how to detect regions of high suspense and how to model the particular footprint of an author or literary genre. A research topic that has sparked the interest of literary scholars and computational linguists alike is the analysis of character interactions, which are usually modelled as social networks. I will describe analogue and digital approaches to the creation and analysis of character network, focusing on whether such networks can be exploited to detect the author or genre of works of literature. |
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| responsibles | Prévost |
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