Abstract: Systems and methods for content filtering based on relevance of publications are disclosed. In one embodiment, in an information processing apparatus comprising at least one computer processor, a method for content filtering of publications may include: (1) receiving a trained neural network, the trained neural network being trained to predict a relevance probability of a publication and comprising a plurality of word vectors, each word vector having a set of trained weights; (2) receiving a publication for evaluation; (3) identifying textual data in the publication; (4) identifying a plurality of sentences in the textual data; (5) identifying a plurality of words in the plurality of sentences; (6) transforming each of the words into word vectors; (7) applying the trained neural network to predict the relevance probability for the publication using the word vectors; and (8) outputting the relevance probability for the publication.