The document describes a software system created by students to analyze patents by extracting problems and solutions through text mining techniques like stemming and classification. The system uses stemming algorithms to reduce words to their root forms and removes stop words to make the analysis more efficient. It identifies problem and solution indicators in patent texts and classifies the problems and solutions to help users better understand patent information. The students evaluated the system on a set of patents and aim to expand it to handle more patents and provide more advanced clustering and mapping of analysis results.