@article{(Open Science Index):https://publications.waset.org/pdf/10001808, title = {Natural Language News Generation from Big Data }, author = {Bastian Haarmann and Lukas Sikorski }, country = {}, institution = {}, abstract = {In this paper, we introduce an NLG application for the automatic creation of ready-to-publish 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. Readyto-publish stories written by a computer application can help humans to quickly grasp the outcomes of big data analyses, save timeconsuming pre-formulations for journalists and cater to rather small audiences by offering stories that would otherwise not exist. }, journal = {International Journal of Computer and Information Engineering}, volume = {9}, number = {6}, year = {2015}, pages = {1489 - 1495}, ee = {https://publications.waset.org/pdf/10001808}, url = {https://publications.waset.org/vol/102}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 102, 2015}, }