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This is a [[category::Dataset]] used in [http://malt.ml.cmu.edu/mw/index.php/M._Hurst_and_K._Nigam._Retrieving_topical_sentiments_from_online_document_collection. M._Hurst_and_K._Nigam._Retrieving_topical_sentiments_from_online_document_collection] 16, 616 sentences from 982 messages from online resources(usenet, online message boards, etc.) about a certain topic. Manual annotation of 250 Randomly selected sentences each with following labels #Polarity Identification: positive, negative #Topic Identification: Topical, Out-of-Topic #Polarity and Topic Identification: ##positive-correlated : If sentences contained a positive polar segment that referred to the topic ##negative-correlated : If sentences contained a negative polar segment that referred to the topic ##positive-uncorrelated : If positive polarity detected but that it was not associated with the topic in question ##negative-uncorrelated : If negative polarity detected but that it was not associated with the topic in question

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