Bastian Haarmann and Lukas Sikorski
Natural Language News Generation from Big Data
1489 - 1495
2015
9
6
International Journal of Computer and Information Engineering
https://publications.waset.org/pdf/10001808
https://publications.waset.org/vol/102
World Academy of Science, Engineering and Technology
In this paper, we introduce an NLG application for the automatic creation of readytopublish texts from big data. The resulting fully automatic generated news stories have a high resemblance to the style in which the human writer would draw up such a story. Topics include soccer games, stock exchange market reports, and weather forecasts. Each generated text is unique. Readytopublish stories written by a computer application can help humans to quickly grasp the outcomes of big data analyses, save timeconsuming preformulations for journalists and cater to rather small audiences by offering stories that would otherwise not exist.
Open Science Index 102, 2015