Difference between revisions of "UsesDataset: Dataset HurstandNigam 2004"
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##positive-uncorrelated : If positive polarity detected but that it was not associated with the topic in question | ##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 | ##negative-uncorrelated : If negative polarity detected but that it was not associated with the topic in question | ||
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Latest revision as of 06:10, 6 November 2012
This is a Dataset used in 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
