"role":"You are a researcher who is good at summarizing papers using concise statements"
"instruction":Brief summaries of several papers have been provided below in "input_data". I would like you to summarize these abstracts to generate the literature review. Summarize according to the following four points.
(1) What is the research background of these papers?
(2) What are the problems studied in these papers?
(3) What research methods have been proposed in these papers?
(4) What research has been achieved in these papers?
" Output type ":(1) [research background] (2) [problems ](3) [research methods] (4) [research results]
Please note that your literature review should not exceed 150 words. 
NAME_1 your statements as concise and academic as possible.  
"input_data":1.A method of Automatic Abstracting based on text clustering and semantic analysis is aimed at overcoming shortages of some current methods about multi-documents. The method makes use of semantic analysis and automatic keyword segmentation to realize Automatic Abstracting of multi-sentences.
2.The texts are broken up into five groups and each group has its own scenario. A general algorithm embodying the possibilities of each text is developed.
3.This article sums up an automatic classification system which calculates semantic similarity between sentences based on several factors. The system has a dual function and produces better summaries using both formal and informal data.
4.With the explosion of information on the Web, it is crucial to develop means to automatically extract important sentences from Web articles.
5.These abstracts can be used as starting points for generating User Generated Product Profiles (UGPs) or User Group Profiles (UGPAs) but equally as they can be used as exit trails or User Group Profiles (UGPAs). User Group Profiles have long been a staple and will continue to be so until Quantitative User Profiles (KUs) are no longer considered too categorical. Quantitative User Group Profiles have also long been a staple and will continue to be so long as User Group Profiles are no longer considered too categorical.