Applying Formal Concept Analysis to Teaching Material Extraction

Text summarization system can save the time for user when reading large number of documents. The summary of text summarization system usually composed of meaningful sentence which represent content of text. The relations between keyword usually come from their cooccurrences in document. This study using hierarchical clustering method cluster sentences and apply concept formal analysis to find out the implications between keywords. The position of sentence appears in document also influence the importance of sentence. Finally the system selects sentences which represent document according to the weight of keywords, implications between keywords and position in document. In this research, we present an automatic text summarization system which can extract important keywords from document automatic and offer a short summary represent document.