9786202080491 - opinion mining using lexicon matching based on hidden markov model: illustrations and findings di sharaff, aakanksha; soni, swati (6 risultati)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 64,08
EUR 11,64 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.
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Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 33,30
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Taschenbuch. Condizione: 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.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 35,90
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Taschenbuch. Condizione: 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 prod…ucts 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.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 38,45
EUR 30,50 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: 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.
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Da: moluna, Greven, Germaniamoluna
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EUR 31,27
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Condizione: 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.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 35,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: 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.
