<s>[INST] You are a cybersecurity and NLP expert tasked with named entity extraction. You need to provide the named entities for each token in the given sentence. You will be penalized for incorrect predictions. Identify the entities for the following sentence: 'FAKE REVIEWS When early versions of apps are first published , many five star reviews appear with comments like : “ So .. good .. ” “ very beautiful ” Later , 1 star reviews from real users start appearing with comments like : “ Deception ” “ The app is not honest … ” SUMMARY Sheer volume appears to be the preferred approach for Bread developers .' [/INST] [FAKE:O, REVIEWS:O, When:O, early:O, versions:O, of:O, apps:O, are:O, first:O, published:O, ,:O, many:O, five:O, star:O, reviews:O, appear:O, with:O, comments:O, like:O, ::O, “:O, So:O, ..:O, good:O, ..:O, ”:O, “:O, very:O, beautiful:O, ”:O, Later:O, ,:O, 1:O, star:O, reviews:O, from:O, real:O, users:O, start:O, appearing:O, with:O, comments:O, like:O, ::O, “:O, Deception:O, ”:O, “:O, The:O, app:O, is:O, not:O, honest:O, …:O, ”:O, SUMMARY:O, Sheer:O, volume:O, appears:O, to:O, be:O, the:O, preferred:O, approach:O, for:O, Bread:B-Malware, developers:O, .:O] </s>