| 摘要 |
Techniques for ranking sentiment-related content using sentiment and factor-based analysis of contextually-relevant user-generated data is described, including generating a term, the term associated with a keyword and a factor, grouping user-generated content associated with the term, the user-generated content being retrieved by a crawler and stored in a database, assigning a rank to the term, the rank associated with one or more attributes of the user-generated content, and including a link associated with the term in a list, the list comprising a plurality of links associated with a plurality of terms, each of the plurality of terms having an assigned rank.
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