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Economic Aspects and Causes of Depression
Author Name : Parmod
In this paper, the author has studied a computational model to discover the potential causes of depression by analysing the topics from user-generated contents. This investigation shows the most unmistakable causes, and how these causes develop after some time. Additionally, we feature the distinctions in causes between understudies with low and high neuroticism. Different investigations exhibit that the subjects uncover important signs about the causes adding to discouraged state of mind. Distinguishing causes can significantly affect improving the nature of depression care; in this manner giving more noteworthy bits of knowledge into a patient's state for appropriate treatment suggestions. Consequently, this examination fundamentally extends the capacity to find the potential factors that trigger depression, making it conceivable to build the effectiveness of depression treatment.