The mind-dataset of X has begun to pile up a lot of data. It's time to introduce a word to vector model to determine how X sees words.
Building a mind-dataset is not like a dictionary that provides a standard definition for everybody. In this project, we want to target person X's personality.
This approach is about profiling X to understand how X perceives a word. For example, a dictionary might depict the season spring as something flowery. But X does not like spring as we have seen. X prefers autumn and its mild sadness.
So in X's dictionary, the definition of autumn is closer to satisfying than summer. This type of bot takes personal views into account to build a personal profiled mind-dataset. On the contrary, a standard dictionary would not suggest a preference between two seasons.