Detecting Semantic-based Similarity Between Verses of The Quran with Doc2vec

Semantic similarity analysis in natural language texts is getting great attention recently. of the Quran especially challenging because it not simply factual but encodes subtle religious meanings. Investigating and relatedness between Quranic verses a hot topic can promote acquisition underlying knowledge. Therefore, we use an NPL method to detect semantic-based Quran. The idea exploit distributed representation text, learn informative Quran’s passages. We map Arabic numerical vectors that encode semantic properties text. then measure among those vectors. performance our model judged through cosine assigned scores annotated textual datasets. Our scored 76% accuracy on detecting similarity, act as basis for potential experiments research.