Automatically extracting multilingual information to support international business decision making

Corporate decision makers can gain competitive advantage if they have comprehensive information. This information can be found in many forms and from many sources nationally and internationally. Searching and gathering of this information is time consuming and labour intensive. In this research, we propose a technique to automatically perform these tasks using text mining tools that search, translate and extract information from online documents. Updated information produced by these tools will be current and accessible by all levels of management.