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Application of a Probability-Based Algorithm to Extraction of Product - reports-archive adm cs cmu

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The document presents a study on the application of a probability-based algorithm for extracting product features from online reviews, specifically comparing it to a support-based approach. The research involved analyzing reviews from seven Amazon product categories and surveying end users on the helpfulness of the extracted features. Results indicated that the probability-based algorithm was preferred by users, as it identified more useful features, particularly those comprising multiple nouns. The algorithm demonstrated efficient processing speeds, making it suitable for practical use in e-commerce settings.

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