An sentiment polarity dictionary is indispensable for reputation and sentiment analysis using Social Network Services (SNSs). Most of the existing sentiment polarity dictionaries do not take into account the fact that word meanings and sentiment ratings change depending on the context of the sentence or situation. We present a situation-specific annotated polarity dictionary of English sentiments by crowdsourcing. To the best of our knowledge, this is the first situation-specific annotated polarity dictionary of English sentiments in the world. We also report the baseline performances using the dictionary.