Resource management using natural language processing tags

A natural language processing method, comprising:

• receiving, by a tag management engine implemented by a processor, an audio file, wherein the audio file is linked with one or more tags, and wherein the one or more tags are linked with an activity level that decays over time;
• identifying, by the tag management engine, tags linked with the audio file;
• determining, by the tag management engine, an access frequency for the audio file, wherein the access frequency indicates how often the audio file has been accessed within a predetermined time period;
• comparing, by the tag management engine, the access frequency of the audio file to an access frequency threshold;
• reducing, by the tag management engine, the activity level for each of the identified tags in response to determining the access frequency is less than the access frequency threshold;
• increasing, by the tag management engine, the activity level for each of the identified tags in response to determining the access frequency is greater than the access frequency threshold;
• comparing, by the tag management engine, the activity levels of the identified tags to a purge threshold;
• and
• removing, by the tag management engine, tags from the set of tags with an activity level that is less than the purge threshold.

A natural language processing device, comprising:

• a network interface configured to receive audio files from one or more storage devices, wherein:
• each audio file is linked with one or more tags;
• and
• the one or more tags are linked with an activity level that decays over time;
• and
• a tag management engine implemented by a processor operably coupled to the network interface, and configured to:
• receive an audio file;
• identify tags linked with the audio file;
• determine an access frequency for the audio file, wherein the access frequency indicates how often the audio file has been accessed within a predetermined time period;
• compare the access frequency of the audio file to an access frequency threshold;
• reduce the activity level for each of the identified tags in response to determining the access frequency is less than the access frequency threshold;
• increase the activity level for each of the identified tags in response to determining the access frequency is greater than the access frequency threshold;
• compare the activity levels of the identified tags to a purge threshold;
• and
• remove tags from the set of tags with an activity level that is less than the purge threshold.