Proposing a New Method for Investigation of the Relationship between Divorce Causes and Association Rules.

Abstract

Nowadays, opinion mining plays a major role in knowledge discovery. This kind of knowledge is a subset of data mining, and opinion mining can be improved using data mining algorithms. Sentiment analysis is one of the most important ways for opinion mining where millions of people are expressing their opinions. This study aims to show the relationship between divorce causes using data mining and association rules. Initially, the main divorce causes were examined from the perspective of the users, and then, the relationship between these causes was indicated to determine the causes which mainly lead to divorce. The results of simulation and comparison on the divorce dataset reveal that the proposed method has a desirable performance.