Data Structures Analysis for Text Processing in the Framework of NLP Classification in Polish

Abstract

Natural language processing (NLP) involves au-tomating the analysis, understanding, generation, and translation of the content of written statements. It is done in order to develop appropriate tools and techniques. One of the most important things on software engineering is the proper selection of the data structure for the task. The paper presents the set of requirements for creating an ideal data structure in the context of text classification in Polish and the review of existing data structures that are useful for text processing, in particular classification, comparing them with each other. Created set of requirements specific to natural language processing in Polish enabled effective comparison of data structures with the ultimate text processing task in mind.