Techniques for receiving, storing, analyzing, and utilizing raw content are disclosed. The
system receives raw text from a user, including a first tag and second tags. The
system identifies and removes formatting attributes in the raw text, including whitespace characters, to generate a normalized input. The
system stores the normalized input in target dataset(s) and parses the normalized input for the first tag and the second tags. In this case, the first tag corresponds to one or more topics, and the second tags represent a computing system associated with corresponding portions of the normalized input. The system analyses the first tag and the second tags to identify the topics. The system generates one or more
topic maps for the target dataset(s) based on the first tag and the one or more second tags. The topic map(s) include one or more references to content items within the target dataset(s).