Method for disambiguated features in unstructured text

A method comprising:

• in response to receiving, by a server, a search query from a client:
• searching, by the server, based on the receiving, a set of records comprising a co-occurring feature, wherein the server comprises a main memory hosting a database, wherein the database stores a first cluster, wherein the first cluster comprises a disambiguated primary feature with a first unique identifier and a set of secondary features, wherein the first cluster comprises a first score;
• identifying, by the server, a record in the set of records, wherein the record matches an extracted feature such that the extracted feature is a first primary feature;
• associating, by the server, the extracted feature with a topic identifier;
• disambiguating, by the server, the first primary feature based on a relatedness of the topic identifier;
• identifying, by the server, the set of secondary features based on the relatedness;
• disambiguating, by the server, the first primary feature from the set of secondary features based on the relatedness;
• accessing, by the server, the database;
• linking, by the server, in real-time, during the accessing, the first primary feature to the set of secondary features;
• forming, by the server, a second cluster based on the linking, wherein the second cluster comprises a second score;
• comparing, by the server, the first score against the second score;
• determining, by the server, whether the first score matches the second score;
• generating, by the server, a third cluster based on the first score not matching the second score, wherein the third cluster comprises a second primary feature;
• assigning, by the server, a second unique identifier to the second primary feature;
• sending, by the server, the second unique identifier to the client.