A SURVEY OF ENTITY IDENTIFICATION AND CLUSTERING USING TEXT PROCESSING FROM NEWSPAPER

Newspaper industries are considered as the main path to face the audiences' expectations. It covers a huge range of applications in different fields such as business, politics, art and sport, which focuses on the following structures, opinion columns, reviews of local services, crosswords, obituaries, birth notices, weather forecasts, comic strips, editorial cartoons, and advice columns. Newspapers company is projected to contribute to the further development and improvement of Named entity identification systems with a focus on historical content. This paper explains the study of different methods based on the procedures followed in digital text processing, i.e., entity identification and clustering for detection and identification of name, location or a company etc. from the newspapers.