Predicting Semantic Categories in Text Based on Knowledge Graph Combined with Machine Learning Techniques

The Quran and the Sunnah are two principal elements of Islamic religion, hadith is an interpreter Quran. Hadith everything that Messenger Muhammad said, whether it was a word, action, or good adjective Prophet. Given status Muslims everywhere in world, digging into m ain perspective to evoke guiding principles institutions must follow. mining has received much attention recent times, but so far, work not been fully implemented. This study focuses on predicting semantic categories unclassified text based its text. model can distinguish between several predict optimal one such as ablution, fasting, Hajj, Zakat. To achieve this goal, Knowledge-Graphic (KG) prediction developed improve machine learning classifiers from standpoint unique traits. 1) Define pivotal terms have high values. II) Taking account all paths those through their convergence with link them. We rely six books more than 30,000 120 classifications. Empirically, we found optimistic results combining KG classifiers.