Systems and methods for categorizing and moderating user-generated content in an online environment

A computer-implemented method, comprising:

• receiving, over a network, at least a portion of textual data input from a user interface;
• computing, using at least one processor, a numeric likelihood that textual data falls into a category unsuitable for publication on a web page;
• determining, using the at least one processor, whether to electronically publish the received portion of textual data on the web page based on a comparison of the computed numeric likelihood to a threshold value associated with the category, wherein the threshold value includes a numeric likelihood assigned to reference content suitable for publication on the web page and the comparison comprises determining whether the computed numeric likelihood exceeds the threshold value;
• and
• generating an electronic command to publish the textual data on the web page, when the computed numeric likelihood is determined not to exceed the threshold value.

A tangible, non-transitory computer-readable medium that stores a set of instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:

• receiving, over a network, at least a portion of textual data input from a user interface;
• computing, using at least one processor, a numeric likelihood that textual data falls into a category unsuitable for publication on a web page;
• determining, using the at least one processor, whether to electronically publish the received portion of textual data on the web page based on a comparison of the computed numeric likelihood to a threshold value associated with the category, wherein the threshold value includes a numeric likelihood assigned to reference content suitable for publication on the web page and the comparison comprises determining whether the computed numeric likelihood exceeds the threshold value;
• and
• generating an electronic command to publish the textual data on the web page, when the computed numeric likelihood is determined not to exceed the threshold value.