This research explores the use of Natural Language Processing (NLP) techniques to locate geological resources, with a specific focus on industrial minerals. By using word embeddings trained with the GloVe model, we extract semantic relationships between target keywords and a corpus of geological texts. The text is filtered to retain only words with geographical significance, such as city names, which are then ranked by their cosine similarity to the target keyword. Dimensional reduction techniques, including Principal Component Analysis (PCA), Autoencoder, Variational Autoencoder (VAE), and VAE with Long Short-Term Memory (VAE-LSTM), are applied to enhance feature extraction and improve the accuracy of semantic relations. For benchmarking, we calculate the proximity between the ten cities most semantically related to the target keyword and identified mine locations using the haversine equation. The results demonstrate that combining NLP with dimensional reduction techniques provides meaningful insights into the spatial distribution of natural resources. Although the result shows to be in the same region as the supposed location, the accuracy has room for improvement.

On the roster: Trump's re-election bid collides with policy problems - Witness: Russians targeted Rubio - Report: Trump aides told Nunes what Nunes told Trump - I'll Tell You What: Kidding, not kidding - Paging Tara Reid TRUMP'S RE-ELECTION BID COLLIDES WITH POLICY PROBLEMS It's too soon to say how President Trump's agenda will fair, but we do know his re-election bid is in trouble. That may sound preposterous to say in the 10th week of an administration, but here we are. Trump, who filed for re-election before he took office, is getting a boost from his most important donors, hedge-fund tycoon Robert Mercer and his family. It comes in the form of a $1.3 million ad blitz targeted at swing states as well as states represented by vulnerable Democratic senators. Trump is doing his part by renewing his war with his fellow Republicans, blasting House conservatives for defeating his health-insurance overhaul last week.