This systematic review explores the use of Natural Language Processing (NLP) and Machine Learning (ML) techniques to identify depression from online support forums. By analyzing 29 selected articles, the review assesses various methods for converting language into machine-understandable formats to detect depression. The study highlights effective feature combinations, discusses challenges in real-world implementation, and suggests future research directions.