An analysis of the advances in automatic text summarization

Summarization as one of the main devices for analysis and organization of documentsis done manually or automatically. With the advancement of technology, production of automatic text summarization has been developed. In the present article the approaches of automatic text summarization are divided into single documentsummarization and multi-document summarization. Single document summarization includes traditional approaches, statistical processing (based on the collection), approaches based on the structure of forum and knowledge-based approaches. Multidocumentsummarization evaluates the advances in this field. Effective factors on the system of automatic text summarization have been evaluated in three parts: (1) input aspects (including text structure, field, level of proficiency, language limit, scale, medium, type, unit and language); (2) objective aspects (including position, audience, application); and (3) output aspects (including content, format, method, the process of production, replacement and length).