Extractive Text Summarization - An effective approach to extract information from Text

Everyday large volume of data is gathered from different sources and are stored since they contain valuable piece of information. The storage of data must be done in efficient manner since it leads in difficulty during retrieval. Text data are available in the form of large documents. Understanding large text documents and extracting meaningful information out of it is time-consuming tasks. To overcome these challenges, information in the form of text are summarized in with an objective to get relevant knowledge with the help of text mining tools. Summarized text will have reduced size as compared to original one. In this paper, we have tried to highlight major techniques for extracting important information from a given text with the help of topic modeling, key phrase extraction and summary generation. For topic modelling LSI and NMF method is used, weighted TF-IDF method is used for key phrase extraction while text summary is generated by using LSA and Text Rank method.