Patent Document ID: 20150378986
Application ID: 14587650
Patent Status: 0

Claim One:
1. A method for detecting irrelevant texts, the method comprising: selecting an article of interest from a plurality of articles, the article being associated with a first plurality of comments previously provided from one or more entities having accessed the article; extracting the first plurality of comments; in response to a determination that the first plurality of comments exceed a comment threshold: determining a context-aware feature for a comment selected from the extracted first plurality of comments based on a context-aware topic distribution and a similarity between the selected comment and the selected article; applying a text classifier to the extracted one or more comments using the determined context-aware feature, the text classifier providing an indication of whether a given comment from the extracted plurality of comments is irrelevant; and in response to the applied text classifier, taking an action on the given comment based on the provided indication; and in response to a determination that the extracted one or more comments do not exceed the comment threshold: extracting a second plurality of comments from a subset of articles selected from the plurality of articles, the extracted second plurality of comments being topical similar to the extracted first plurality of comments; defining a transferred context as a combination of the extracted first plurality of comments and the extracted second plurality of comments; determining a transferred context-aware feature for a comment selected from the first plurality of comments based on the transferred context and a similarity between the selected comment and the selected article; applying the text classifier to the extracted first plurality of comments using the determined transferred context-aware feature, the text classifier providing an indication whether a given comment from the extracted first plurality of comments is irrelevant; and in response to the applied text classifier, taking an action on the given comment based on the provided indication.