Comment Extraction from Blog Posts and Its Application to Opinion Mining
2008 thesis
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Comment Extraction from Blog Posts and Its Application to Opinion Mining
Summary
Comment Extraction from Blog Posts and Its Application to Opinion Mining is a thesis[1].
Key Facts
- Comment Extraction from Blog Posts and Its Application to Opinion Mining authored Ann Kao[2].
- Comment Extraction from Blog Posts and Its Application to Opinion Mining's instance of is recorded as thesis[3].
- Comment Extraction from Blog Posts and Its Application to Opinion Mining's language of work or name is recorded as Traditional Chinese[4].
- Comment Extraction from Blog Posts and Its Application to Opinion Mining's country of origin is recorded as Taiwan[5].
- Comment Extraction from Blog Posts and Its Application to Opinion Mining's publication date is recorded as +2008-00-00T00:00:00Z[6].
- Comment Extraction from Blog Posts and Its Application to Opinion Mining's main subject is recorded as blog[7].
- Comment Extraction from Blog Posts and Its Application to Opinion Mining's main subject is recorded as sentiment analysis[8].
- Comment Extraction from Blog Posts and Its Application to Opinion Mining's main subject is recorded as feature selection[9].
- Comment Extraction from Blog Posts and Its Application to Opinion Mining's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+111'}[10].
- Comment Extraction from Blog Posts and Its Application to Opinion Mining's title is recorded as 部落格貼文評論擷取及其在意見探勘上的應用[11].
- Comment Extraction from Blog Posts and Its Application to Opinion Mining's title is recorded as Comment Extraction from Blog Posts and Its Application to Opinion Mining[12].
- Comment Extraction from Blog Posts and Its Application to Opinion Mining's thesis submitted to is recorded as National Taiwan University[13].
- Comment Extraction from Blog Posts and Its Application to Opinion Mining's CYT/CCS is recorded as MA001198413[14].
Body
Designation and Status
Comment Extraction from Blog Posts and Its Application to Opinion Mining's instance of is recorded as thesis[3].