Natural language model based real estate trend predictions

A method, comprising:

• accessing a source;
• determining, based on the source, a plurality of word counts, wherein each word count comprises an occurrence frequency of a word and a word sentiment associated with the word;
• determining, based on the source, a plurality of word embeddings within an embedding space, wherein locations of the plurality of word embeddings within the embedding space indicate a similarity between each word of the source;
• inputting the plurality of word embeddings and the plurality of word counts into a natural language processing model, the natural language processing model to output a source sentiment associated with the source;
• determining a confidence score associated with the source sentiment, wherein the confidence score indicates a correlation between the source sentiment and the source;
• and
• determining a trend prediction based on the source sentiment.

A non-transitory computer-readable medium storing specific computer-executable instructions that, when executed by a processor of a computing device, cause the computing device to:

• access a source;
• determine, based on the source, a plurality of word counts, wherein each word count comprises an occurrence frequency of a word and a word sentiment associated with the word;
• determine, based on the source, a plurality of word embeddings within an embedding space, wherein locations of the plurality of word embeddings within the embedding space indicate a similarity between each word of the source;
• input the plurality of word embeddings and the plurality of word counts into a natural language processing model, the natural language processing model to output a source sentiment associated with the source;
• determine a confidence score associated with the source sentiment, wherein the confidence score indicates a correlation between the source sentiment and the source;
• and
• determine a trend prediction based on the source sentiment.