Methods and Systems for Data Analysis by Text Embeddings

A method for detecting patterns within data, the method comprising:

• receiving, by one or more processors, a plurality of reports;
• extracting, by the one or more processors, field data from amongst each of the plurality of reports, wherein the field data includes a plurality of words and a plurality of punctuation characters;
• generating a plurality of tokens from the field data;
• sending, with a transceiver, the plurality of tokens and the field data to a neural network;
• and
• receiving, at the one or more processors and from the neural network, predictive data.

A system for detecting crimes series comprising:

• one or more processors;
• a user portal;
• a neural network;
• a transceiver;
• and
• at least one memory in communication with the processor, the user portal, the neural network, and the transceiver and storing computer program code that, when executed by the one or more processors, is configured to cause the system to:
• receive, from the user portal, a plurality of crime reports;
• extract field data from amongst each of the plurality of crime reports;
• identify a narrative field from amongst each of the plurality of crime reports;
• extract narrative field data from the narrative field of each of the plurality of crime reports, wherein the narrative field data includes a plurality of words and a plurality of punctuation terms;
• generate a plurality of tokens from the narrative field data;
• send, with the transceiver, the plurality of tokens and the field data to a neural network;
• receive, from the neural network, crime prediction data;
• determine based on the crime prediction data and the field data, related crimes;
• plot the related crimes to a map;
• generate a visual display of the map;
• and
• send the visual display to a user portal, such that the visual display can be displayed by the user portal as a graphical user interface.