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Opinion Mining using Lexicon Matching Based on Hidden Markov Model: Illustrations and Findings - Softcover
Synopsis
A large number of products are available today in various websites for trading. In order to know about the product, the seller or the manufacturer often asks their customers to share their opinions and their experiences on the products which they purchased. Unfortunately, this is a very cumbersome task to go through all review comments and to decide whether the product is up to the satisfaction level of customer or not. The main issue with these review comments is to manage all those comments and make a meaningful summarized form of review whether it represents a positive sense or feedback about the product or the negative or neutral. So, the main task is to build a dictionary of entities from these reviews. This book emphasize on making a model for Lexicon Matching using Hidden Markov Model (HMM) and Fuzzy K-Means Clustering. The outcomes of the results indicate that the trained HMM system is very promising in performing the desired tasks and achieved maximum possible precision and accuracy in case of Lexicon Matching.
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Opinion Mining using Lexicon Matching Based on Hidden Markov Model
Published by
LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10: 6202080493
ISBN 13: 9786202080491
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A large number of products are available today in various websites for trading. In order to know about the product, the seller or the manufacturer often asks their customers to share their opinions and their experiences on the products which they purchased. Unfortunately, this is a very cumbersome task to go through all review comments and to decide whether the product is up to the satisfaction level of customer or not. The main issue with these review comments is to manage all those comments and make a meaningful summarized form of review whether it represents a positive sense or feedback about the product or the negative or neutral. So, the main task is to build a dictionary of entities from these reviews. This book emphasize on making a model for Lexicon Matching using Hidden Markov Model (HMM) and Fuzzy K-Means Clustering. The outcomes of the results indicate that the trained HMM system is very promising in performing the desired tasks and achieved maximum possible precision and accuracy in case of Lexicon Matching. 52 pp. Englisch. Seller Inventory # 9786202080491
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Opinion Mining using Lexicon Matching Based on Hidden Markov Model : Illustrations and Findings
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202080493
ISBN 13: 9786202080491
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A large number of products are available today in various websites for trading. In order to know about the product, the seller or the manufacturer often asks their customers to share their opinions and their experiences on the products which they purchased. Unfortunately, this is a very cumbersome task to go through all review comments and to decide whether the product is up to the satisfaction level of customer or not. The main issue with these review comments is to manage all those comments and make a meaningful summarized form of review whether it represents a positive sense or feedback about the product or the negative or neutral. So, the main task is to build a dictionary of entities from these reviews. This book emphasize on making a model for Lexicon Matching using Hidden Markov Model (HMM) and Fuzzy K-Means Clustering. The outcomes of the results indicate that the trained HMM system is very promising in performing the desired tasks and achieved maximum possible precision and accuracy in case of Lexicon Matching. Seller Inventory # 9786202080491
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Opinion Mining using Lexicon Matching Based on Hidden Markov Model: Illustrations and Findings
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202080493
ISBN 13: 9786202080491
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Paperback. Condition: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Seller Inventory # zk6202080493
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Opinion Mining using Lexicon Matching Based on Hidden Markov Model
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202080493
ISBN 13: 9786202080491
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sharaff AakankshaDr. (Mrs.) Aakanksha Sharaff, Ph.D., worked as an Assistant Professor in Computer Science & Engineering at National Institute of Technology, Raipur India. Her Research Interest are in the area of Data Mining, Text Mi. Seller Inventory # 385925492
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Opinion Mining using Lexicon Matching Based on Hidden Markov Model
Published by
LAP LAMBERT Academic Publishing Nov 2017, 2017
ISBN 10: 6202080493
ISBN 13: 9786202080491
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A large number of products are available today in various websites for trading. In order to know about the product, the seller or the manufacturer often asks their customers to share their opinions and their experiences on the products which they purchased. Unfortunately, this is a very cumbersome task to go through all review comments and to decide whether the product is up to the satisfaction level of customer or not. The main issue with these review comments is to manage all those comments and make a meaningful summarized form of review whether it represents a positive sense or feedback about the product or the negative or neutral. So, the main task is to build a dictionary of entities from these reviews. This book emphasize on making a model for Lexicon Matching using Hidden Markov Model (HMM) and Fuzzy K-Means Clustering. The outcomes of the results indicate that the trained HMM system is very promising in performing the desired tasks and achieved maximum possible precision and accuracy in case of Lexicon Matching.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9786202080491
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Opinion Mining using Lexicon Matching Based on Hidden Markov Model | Illustrations and Findings
Published by
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202080493
ISBN 13: 9786202080491
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Taschenbuch
Seller: preigu, Osnabrück, Germany
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Taschenbuch. Condition: Neu. Opinion Mining using Lexicon Matching Based on Hidden Markov Model | Illustrations and Findings | Aakanksha Sharaff (u. a.) | Taschenbuch | 52 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202080491 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 110807157