Türkçe Radyoloji Raporlarının Doğal Dil İşlenmesi

Today, it is widely used on DDI. is an important problem. machine with Natural Language Processing understand human language and facilitate human life is targeted. Word preprocessing, information extraction, machine translation, text summarization and classification studies DDI are some of the application areas. Education, business and social Studies on DDI in almost every sector such as media available. Declaring a pandemic due to the Covid19 Virus in the world DDI became important in the health sector after the won. Studies on Turkish texts scarcity and the need for DDI applications in the field of health makes the work important. Turkish Radiology A dataset was created from the reports. Data NLTK, A set of rules specified by the mainspring and regular expressions. preprocessed and normalized. later Language modeling was carried out with Word2Vec.