Emerging industry prediction using machine learning

A system for training a machine learning model for categorizing data, the system comprising:

• a storage device that stores program instructions;
• one or more processors operably connected to the storage device and configured to execute the program instructions to cause the system to:
• receive labeled positive training data;
• receive negative training data;
• lemmatize the positive training data and negative training data;
• vectorize the lemmatized positive training data and negative training data into a vector space;
• and
• train a machine learning model, with the vectorized positive training data and negative training data, to identify a new category of data from existing categories in the positive training data and negative training data.

A computer program product for training a machine learning model for categorizing data, the computer program product comprising:

• a computer-readable storage medium having program instructions embodied thereon to perform the steps of:
• receiving labeled positive training data;
• receiving negative training data;
• lemmatizing the positive training data and negative training data;
• vectorizing the lemmatized positive training data and negative training data into a vector space;
• and
• training a machine learning model, with the vectorized positive training data and negative training data, to identify a new category of data from existing categories in the positive training data and negative training data.