In　the　history　of　Olympic　Games,　there　are　no　documents　of　marketing　laws　or　rules.　In　this　paper,　Text　mining　was　used　when　structuring　the　framework　of　marketing　rules　of　Olympic　Games.　Text　mining　(TM)　is　a　data　processing　technology　through　which　potential　and　possible　data　relations　or　rules　can　be　dug　out　from　large　number　of　unstructured　text　information.　The　main　purpose　of　this　paper　is　to　automatically　summarize　marketing　rules　in　order　to　improve　access　to　the　large　number　of　existing　and　future　cases.　Therefore,　techniques　are　developed　for　identifying　and　extracting　relevant　information　from　disarranged　text.