Opinion Mining using Lexicon Matching Based on Hidden Markov Model : Illustrations and Findings

Language: English

Published by LAP LAMBERT Academic Publishing, 2017

6202080493 / 9786202080491

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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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Title
Opinion Mining using Lexicon Matching Based on Hidden Markov Model : Illustrations and Findings
Author
Swati Soni
Publisher
LAP LAMBERT Academic Publishing
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6202080493
ISBN 13
9786202080491
Item weight
96 grams
Dimensions
220x150x4 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

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