Feature Based Opinion Summarization using Transfer Learning
Language: English
Published by LAP Lambert Academic Publishing Jun 2015, 2015
- Softcover
- New
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
AbeBooks seller since January 23, 2017
Condition: New
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This item is printed on demand - Print on Demand Titel. Neuware -Opinion mining is used to improve the decision making of new user in various domains such as product, movie, news media, social networking shares etc. Feature based opinion mining rely only on single domain corpus in most of the existing methodology. Feature based opinion mining in two different domain corpuses is complex. The features and Opinion words are extracted with the help of the Part-of-Speech (PoS) tagging tool. The Inter dependent domain relevance (IDDR) technique use removal of redundant features and pruning of irrelevant features from two different domains with the help of the IDDR score and threshold value. Normally data mining and machine learning use training and test data from same domain and have same feature. But the above concept is not hold in all domains due to the lack of labeled dataset. Here the proposed transfer learning method using Exaggerate Instance weighted K nearest neighbor (EIWKNN) algorithm to transfer the knowledge from camera domain to iPod domain for Opinion classification. The summary of two different domains feature with respect to their opinion is generated.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. …
Seller Inventory # 9783659717949
- Title
- Feature Based Opinion Summarization using Transfer Learning
- Author
- Ramesh Sekaran
- Publisher
- LAP Lambert Academic Publishing Jun 2015
- Publication year
- 2015
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3659717940
- ISBN 13
- 9783659717949
- Item weight
- 149 grams
- Dimensions
- 220x150x6 mm
"Synopsis" may belong to another edition of this title.
buchversandmimpf2000
Emtmannsberg, BAYE, Germany
AbeBooks seller since January 23, 2017
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