Systems and methods for determining topics of data artifacts

A system for determining topics of data artifacts, the system comprising:

• an extraction module, stored in memory, that extracts at least one initial keyword from a data artifact with an unknown topic;
• a creation module, stored in memory, that creates a set of keywords by generating a plurality of contextually relevant keywords related to the initial keyword and combining the initial keyword with the contextually relevant keywords to form the set of keywords;
• a retrieval module, stored in memory, that retrieves, from a topic processor, a plurality of lists of topics, wherein each list of topics describes each keyword within the set of keywords, wherein each list of topics has a corresponding frequency in a topic frequency table;
• a generation module, stored in memory, that:
• generates a frequency distribution graph from the retrieved topic lists based on the topic frequency table;
• and
• generates, based on the frequency, an ordered list of probable topics of the data artifact by selecting topics in the topic lists falling within the middle of the graph such that the topic with the highest frequency and the topic with the lowest frequency are not included in the ordered list of probable topics;
• and
• at least one physical processor configured to execute the extraction module, the creation module, the retrieval module, and the generation module.

A non-transitory computer-readable medium comprising one or more computer-readable instructions that, when executed by at least one processor of a computing device, cause the computing device to:

• extract at least one initial keyword from a data artifact with an unknown topic;
• create a set of keywords by generating a plurality of contextually relevant keywords related to the initial keyword and combine the initial keyword with the contextually relevant keywords to form the set of keywords;
• retrieve, from a topic processor, a plurality of lists of topics, wherein each list of topics describes each keyword within the set of keywords, wherein each list of topics has a corresponding frequency in a topic frequency table;
• generate a frequency distribution graph from the retrieved topic lists based on the topic frequency table;
• and
• generate, based on the frequency, an ordered list of probable topics of the data artifact by selecting topics in the topic lists falling within the middle of the graph such that the topic with the highest frequency and the topic with the lowest frequency are not included in the ordered list of probable topics.