Natural language processing to classify named entities of the Brazilian Union Official Diary


Understanding the grammatical structure of a sentence is an important step for computers to be able to understand the intended meaning in a text. Natural Language Processing (NLP), a sub-area of Artificial Intelligence, is a field of study of computational automation, understanding and grammatical organization of an unstructured language in applications such as automatic translation, processing and synthesizing natural language texts, speech recognition, expert systems and extraction of meaning from texts, among others. Based on these concepts, this article provides a study of a set of tools that perform natural language processing. As results proposes and analyzes the construction of a corpus to extract named entities using the Union Official Diary of the Brazil as source of information.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL