A Masked Language Model (MLM) is a type of neural network model used in natural language processing that predicts missing words in a sentence by learning contextual representations of words. This approach enables the model to understand both syntactic and semantic nuances of language, making it highly effective for tasks like text completion and sentiment analysis.