TU Darmstadt / ULB / TUbiblio

A Comparative Study of Feature Extraction Algorithms in Customer Reviews

Ferreira, Liliana and Jakob, Niklas and Gurevych, Iryna (2008):
A Comparative Study of Feature Extraction Algorithms in Customer Reviews.
In: Proceedings of the 2nd IEEE International Conference on Semantic Computing, [Online-Edition: https://ieeexplore.ieee.org/document/4597185],
[Conference or Workshop Item]

Abstract

The paper systematically compares two feature extraction algorithms to mine product features commented on in customer reviews. The first approach [17] identifies candidate features by applying a set of POS patterns and pruning the candidate set based on the Log Likelihood Ratio test. The second approach [11] applies association rule mining for identifying frequent features and a heuristic based on the presence of sentiment terms for identifying infrequent features. We evaluate the performance of the algorithms on five product specific document collections regarding consumer electronic devices. We perform an analysis of errors and discuss advantages and limitations of the algorithms.

Item Type: Conference or Workshop Item
Erschienen: 2008
Creators: Ferreira, Liliana and Jakob, Niklas and Gurevych, Iryna
Title: A Comparative Study of Feature Extraction Algorithms in Customer Reviews
Language: English
Abstract:

The paper systematically compares two feature extraction algorithms to mine product features commented on in customer reviews. The first approach [17] identifies candidate features by applying a set of POS patterns and pruning the candidate set based on the Log Likelihood Ratio test. The second approach [11] applies association rule mining for identifying frequent features and a heuristic based on the presence of sentiment terms for identifying infrequent features. We evaluate the performance of the algorithms on five product specific document collections regarding consumer electronic devices. We perform an analysis of errors and discuss advantages and limitations of the algorithms.

Title of Book: Proceedings of the 2nd IEEE International Conference on Semantic Computing
Uncontrolled Keywords: Semantic Information Management;UKP_a_SIM;UKP_p_THESEUS
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Date Deposited: 31 Dec 2016 14:29
Official URL: https://ieeexplore.ieee.org/document/4597185
Identification Number: TUD-CS-2008-100
Related URLs:
Export:
Suche nach Titel in: TUfind oder in Google

Optionen (nur für Redakteure)

View Item View Item