# How to build a dictionary for sentiment analysis?

I would like to know if it would be possible to build a dictionary using terms/words included in a dataset, in order to be used for sentiment analysis (and build a sentiment analysis classification model from scratch). Some context: I have scraped a lot of texts (documents). I cleaned the dataset, removing sotpwords and punctuation. Now I have a list of unique words. For example:

House
Dog