Keyword Extraction from Meeting Documents for Search and Retrieval

Information plays an important role for management to make sound decision for the organization. Organization today keeps documents in electronic format; however it appears that aside from the possible, well-organized folders in a disk and wellmeaning filenames given to documents, searching documents based on contents is difficult. In addition, most if not all document search requires the user to recall exact phrases in the document for search and retrieval. In an organization where administrators changes over time, decisions, recommendations, suggestions and other important things that were recorded formally in a document may remain unknown to new administrators. New administrators may have to exert pro-active efforts to retrieve previous decisions before making a new one, due to possible contradiction or repetition. As the volume of document increases, search and retrieval become tedious and difficult. This study presented an approach to parse and analyze meeting documents to extract keywords in preparation for indexing and clustering.