A Literature Study on Different Multi-Document Summarization Techniques

Currently the rate of improvement of information is developing exponentially in the World Wide Web. In this manner, removing real and significant information from tremendous data has transformed into a testing issue. Starting late text summarization is seen as one of the response for expel material information from immense documents. In view of number of documents considered for summarization, the summarization task is requested as single document or multi-document summarization. Rather than single document, multi-document summarization is all the additionally striving for the examiners to find correct abstract from multiple documents. In this paper, firstly we will discuss about the concept of multi-document summarization and then we will have an in depth analysis of various methodologies which goes under the multi-document summarization. The paper moreover contains bits of knowledge about the focal points and issues in the present methods. This would especially be helpful for researchers working in this field of text data mining. By using this data, researchers can create new or mixed based methodologies for multi-document summarization.