Building a System for Stock News Generation in Russian
نویسنده
چکیده
In this paper we present an implementation of an NLG system that serves for stock news generation. The system has two modules: analysis module and NLG module. The first one is intended for processing the data on stock index changes, the second one for the news texts generation using the template-based NLG approach. The evaluation shown that both modules give relatively accurate results and the system can be used as a newsbot for stock news generation.
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تاریخ انتشار 2016