Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/24997
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dc.coverage.spatialInformation and Communication Engineeringen_US
dc.date.accessioned2014-09-15T04:00:27Z-
dc.date.available2014-09-15T04:00:27Z-
dc.date.issued2014-09-15-
dc.identifier.urihttp://hdl.handle.net/10603/24997-
dc.description.abstractSentiment detection is the process of finding the sentiment newlineexpressed in a review by using machine learning techniques or natural newlinelanguage processing NLP techniques This is also known as opinion mining newlineOM and sentiment analysis The objective is to classify a review document newlineas either positive or negative based on the sentiment expressed in it This type newlineof classification is carried out at the document level without discovering newlineabout what people liked or did not like newlinePurchase decisions are greatly influenced by the opinion of the newlinecurrent users of the product Nowadays customers depend on the opinionrich newlineinformation available online for any purchase decision newline newlineen_US
dc.format.extentxx,125p.en_US
dc.languageEnglishen_US
dc.relation-en_US
dc.rightsuniversityen_US
dc.titleSentiment detection using mahalanobis distance and mahalanobis fuzzy systemen_US
dc.title.alternative-en_US
dc.creator.researcherValarmathi, Ben_US
dc.subject.keywordinformation and communication engineeringen_US
dc.subject.keywordmahalanobis distanceen_US
dc.subject.keywordmahalanobis fuzzy systemen_US
dc.description.noteReference p.114-123en_US
dc.contributor.guidePalanisamy, Ven_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.date.registeredn.d.en_US
dc.date.completed01/06/2012en_US
dc.date.awarded30/06/2012en_US
dc.format.dimensions23cmen_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File38.69 kBAdobe PDFView/Open
02_certificates.pdf659.13 kBAdobe PDFView/Open
03_abstract.pdf10.83 kBAdobe PDFView/Open
04_acknowledgement.pdf5.68 kBAdobe PDFView/Open
05_contents.pdf26.9 kBAdobe PDFView/Open
06_chapter 1.pdf36.82 kBAdobe PDFView/Open
07_chapter 2.pdf86.17 kBAdobe PDFView/Open
08_chapter 3.pdf42.7 kBAdobe PDFView/Open
09_chapter 4.pdf102.15 kBAdobe PDFView/Open
10_chapter 5.pdf131.25 kBAdobe PDFView/Open
11_chapter 6.pdf89.99 kBAdobe PDFView/Open
12_chapter 7.pdf29.56 kBAdobe PDFView/Open
13_chapter 8.pdf112.24 kBAdobe PDFView/Open
14_chapter 9.pdf16.33 kBAdobe PDFView/Open
15_appendix.pdf88.78 kBAdobe PDFView/Open
16_references.pdf35.76 kBAdobe PDFView/Open
17_publications.pdf5.6 kBAdobe PDFView/Open
18_vitae.pdf5.55 kBAdobe PDFView/Open


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