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Netpix : a method of feature selection leading to accurate sentiment-based classification models / James B. Steck

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Identifier	Thesis 1790
Author	Steck, James B., 1960-
Title	Netpix : a method of feature selection leading to accurate sentiment-based classification models / James B. Steck
Publisher	Central Connecticut State University
Date	2005
Resource Type	Master's Thesis
Notes	The online DVD rental company Netflix® advertises that their service "is the best way to rent movies1." Though Netflix® claims they enable customers to "find and discover movies they will enjoy", consistently renting movies that meet personal tastes and standards still remains an elusive task. An intelligent data mining model that recommends movies according to each viewer's personal preference-his or her "net picks", so to speak-would likely increase customer satisfaction. Researchers have proposed several techniques that accurately classify the underlying sentiment found in reviews. In several cases, these techniques rely on adjectives as likely indicators of subjectiveness, sentiment, or opinion. This thesis describes a method that extracts useful features from a collection of movie reviews and uses them to build data mining models capable of accurately classifying a new review as either "Good" or "Bad." The experiments described in this thesis use attribute selection methods in WEKA2 to evaluate each feature's relevance, with respect to the task of movie review classification. Subsets of the ranked features are then programmatically input to Bayesian-based classifiers in WEKA to generate classification results. These methods are proven to produce highly accurate classification models with results often more competitive than those reported in current literature. 1 © 1997-2005 Netflix, Inc. All rights reserved. 2 WEKA (Waikato Environment for Knowledge Analysis) 3.4 Data Mining Software.
Subject	Data mining
Department	Department of Mathematical Sciences
Advisor	Larose, Daniel T.
Type	Text
Digital Format	application/pdf
Language	eng
OCLC number	61661442
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Netpix : a method of feature selection leading to accurate sentiment-based classification models / James B. Steck

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