Automated Narratives and Journalistic Text Generation: The Lead Organization Structure Translated into Code
| Autor: | Márcio Carneiro dos Santos |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Artificial intelligence
Multimedia business.industry Computer science lcsh:Journalism. The periodical press etc Communication NLTK Automated Narratives lcsh:PN4699-5650 computer.software_genre lcsh:P87-96 lcsh:Communication. Mass media Newspaper World Wide Web Software Lead Organization Text generation Narrative The Internet Championship business Online journalism computer Natural language Python |
| Zdroj: | Brazilian Journalism Research, Vol 12, Iss 1, Pp 150-175 (2016) |
| ISSN: | 1981-9854 1808-4079 |
| DOI: | 10.25200/bjr.v12n1.2016.921 |
| Popis: | It describes the experiment of building a software capable of generating leads and newspaper titles in an automated fashion from information obtained from the Internet. The theoretical possibility Lage already provided by the end of last century is based on relatively rigid and simple structure of this type of story construction, which facilitates the representation or translation of its syntax in terms of instructions that the computer can execute. The paper also discusses the relationship between society, technique and technology, making a brief history of the introduction of digital solutions in newsrooms and their impacts. The development was done with the Python programming language and NLTK- Natural Language Toolkit library - and used the results of the Brazilian Soccer Championship 2013 published on an internet portal as a data source. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|