sorry mixed it up. If I look at glove & WordNet usage e.g. for topic extraction, bagging / clustering or semantic similarity would you say we would need to get

sorry mixed it up. If I look at glove & WordNet usage e.g. for topic extraction, bagging / clustering or semantic similarity would you say we would need to get rid of such a bias, e.g. create something like a Geiger counter for NLP. Alternative view - when doing sentiment analysis / classification would you say that such a bias actually helps to identify a type of sentiment in a doc / sentence.