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Low-Quality Product Review Detection in Opinion Summarization
2007
Conference on Empirical Methods in Natural Language Processing
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Product reviews posted at online shopping sites vary greatly in quality. This paper addresses the problem of detecting lowquality product reviews. ...
To assess the quality of product reviews, a set of specifications for judging the quality of reviews is first defined. A classificationbased approach is proposed to detect the low-quality reviews. ...
Conclusion In this paper, we studied the problem of detecting low-quality product reviews. ...
dblp:conf/emnlp/LiuCLHZ07
fatcat:f6ltnkf6hrhiljvnukcrvewf2i
Detection and summarization of genuine review using Visual Data Mining
2012
International Journal of Computer Applications
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As the numbers of customers are growing, reviews received by products are also growing in large amount. Thus, mining opinions from product reviews is an important research topic. ...
This research paper aims to first classify the opinion (positive or negative) carried out by detection of a review( spam or a nonspam ) based on rating behavior and finally removing spam reviews, which ...
The use of "chernoff-face" as technique of visualization will help the end user to understand general opinion about specific product in one glance. ...
doi:10.5120/6148-8522
fatcat:ujsy7h3ozzbjdjvyiho7hijmke
The Pareto Principle Is Everywhere: Finding Informative Sentences for Opinion Summarization Through Leader Detection
[chapter]
2015
Lecture Notes in Social Networks
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Reviews of six products from Amazon.com are used to verify the effectiveness of our method for opinion summarization. ...
Our goal is to assist users to get helpful opinion suggestions from reviews by only reading a short summary with a few informative sentences, where the quality of summary is evaluated in terms of both ...
For instance, a cluster of sentences may consist of all spam reviews resulting in the centroid sentence being of low quality. ...
doi:10.1007/978-3-319-14379-8_9
dblp:series/lnsn/ZhuGPLDS15
fatcat:e42ysieyenh3dj7feqzzjpmbz4
Research Directions, Challenges and Issues in Opinion Mining
2013
International Journal of Advanced Science and Technology
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Such reviews are useful to some extent, promising both the customers and product manufacturers. For any popular product, the number of reviews can be in hundreds or even thousands. ...
Mining such product reviews or opinions is termed as opinion mining which is broadly classified into two main categories namely facts and opinions. ...
Acknowledgements The authors would like to express our special thanks to insightful suggestions for the anonymous reviewers. ...
doi:10.14257/ijast.2013.60.01
fatcat:vsb5anbrjfddvit64yw7tfk5q4
A Survey of Quality Prediction of Product Reviews
2015
International Journal of Advanced Computer Science and Applications
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This paper provides a survey of approaches to the challenge of identifying the content quality of product reviews. ...
With the help of Web-2.0, the Internet offers a vast amount of reviews on many topics and in different domains. ...
Their work focused on improving the quality of opinion summarization by detecting and discarding noisy and low quality reviews using a classification based approach. ...
doi:10.14569/ijacsa.2015.061107
fatcat:l4yywkzbcndzram5xarqd6aswm
Aspect based Summarization of Context Dependent Opinion Words
2014
Procedia Computer Science
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As we know, there are lots of opinion words present in the sentences of a review which will tell about the polarity of that product. ...
Popularity and availability of opinion-rich resources in e-commerce platform is growing rapidly. Before buying any product, one is interested to know the opinion of other people about that product. ...
In the summarization step, for each feature, we will form two clusters; one with positive reviews and second with negative reviews. ...
doi:10.1016/j.procs.2014.08.096
fatcat:j2hwxrag3fg4heya34anfltuzm
Comparative Snippet Generation
[article]
2022
arXiv
pre-print
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Other Versions
2022
Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5)
unpublished
doi:10.18653/v1/2022.ecnlp-1.7 fatcat:bbldvtezqnd3vjyqy6ismq6ice
doi:10.18653/v1/2022.ecnlp-1.7 fatcat:bbldvtezqnd3vjyqy6ismq6ice
We model product reviews to generate comparative responses consisting of positive and negative experiences regarding the product. ...
We contribute the first dataset for this task of Comparative Snippet Generation from contrasting opinions regarding a product, and a performance analysis of a pre-trained BERT model to generate such snippets ...
Opinion Summarization. Opinion summarization differs from other summarization tasks in two aspects. ...
arXiv:2206.05473v1
fatcat:cg4xf4bfmndqln5lxna3ijfaie
Towards Opinion Summarization of Customer Reviews
2018
Proceedings of ACL 2018, Student Research Workshop
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In this paper, we introduce our research plan to use neural networks on user-generated travel reviews to generate summaries that take into account shifting opinions over time. ...
We outline future directions in summarization to address all of these issues. By resolving the existing problems, we will make it easier for users of review-sites to make more informed decisions. ...
(Lloret et al., 2015) deals both with the summarization of opinions in social networks and opinions in product reviews. ...
doi:10.18653/v1/p18-3001
dblp:conf/acl/Pecar18
fatcat:5d3p4w6gvvfixdvp2jpcq6l4ia
Mining Software Quality from Software Reviews: Research Trends and Open Issues
English
2016
International Journal of Computer Trends and Technology
English
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2016 pre-print arXiv:1602.02133v1 fatcat:grmqjbyi5jb6fe4dfxx5b5paxi
This article investigates the application of opinion mining as an approach to extract software quality properties. ...
The application of sentiment analysis on software reviews can find a quantitative value that represents software quality. ...
[104] proposed an aspect-based opinion summarization (or structured summary) to detect Low-quality product review in opinion summarization. ...
doi:10.14445/22312803/ijctt-v31p114
fatcat:eiyfbyqqtffcjp5q4rerpevb74
Logistic Regression Method for Sarcasm Detection of Text Data
2019
International Journal of Computer Applications
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The SVM classifier classifies data based on the hyper plane which give low accuracy. To improve accuracy for sarcasm detection logistic regression is applied in this work. ...
The proposed approach has high accuracy and low execution time as compared to SVM classifier for sarcasm detection ...
In the applications like social media analysis or commercial product reviews, opinion mining is performed. ...
doi:10.5120/ijca2019919451
fatcat:boebp3svojamze6xdw4axugkiq
Mining Opinion Targets from Text Documents: A Review
2013
Journal of Emerging Technologies in Web Intelligence
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This paper presents a review of the state of the art unsupervised approaches for opinion target identification due to its potential applications in opinion mining from user discourse. ...
This study compares the existing approaches that might be helpful in the future research work of opinion mining and features extraction. ...
Hence, feature mining of products is important for opinion mining and summarization. The task of feature mining provides a base for opinion summarization [3] . ...
doi:10.4304/jetwi.5.4.343-353
fatcat:7kcp73wembbtrcluapnhifxjdi
Various Techniques for Sentiment Analysis of Products Review – A Review
2016
International Journal of Computer Applications
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The appropriate dictionaries areutilized to evaluate the sentiment of the input text data for the social threads, product review, opinion mining, etc.This work focuses upon the detailed literature study ...
The sentiment analysis is the analysis of the sentiment in the numeric form from the given text input. ...
Review Summarization Review Summarization is a process of summarizing the reviews or opinions of the product. ...
doi:10.5120/ijca2016910422
fatcat:u7qtdqgjy5exbpfne5ds22geum
Rule-based opinion target and aspect extraction to acquire affective knowledge
2013
Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion
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Qualitative analyses performed on a corpus of 100 000 Amazon product reviews show that the approach is promising. ...
The extracted opinion targets and aspects are useful for enriching common knowledge resources and opinion mining ontologies, and support practitioners and researchers to identify opinions in document collections ...
Acknowledgement The research presented in this paper has been conducted as part of the DIVINE Project (www.weblyzard.com/divine) funded by the Austrian Research Promotion Agency, the WISDOM Project (www.semanticlab.net ...
doi:10.1145/2487788.2487994
dblp:conf/www/GindlWS13
fatcat:znrcjdp5hrg73dicgr6wk5aoci
Identification of Opinion Spammers using Reviewer Reputation and Clustering Analysis
2019
International Journal of Computers Communications & Control
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In this paper, an effective method of identifying opinion spammers is proposed. Firstly, suspected spammers are detected by means of unsupervised learning based on reviewer's reputation. ...
We believe that the reviewer's reputation has a direct relation with the quality of reviews. ...
Conclusion and future work In this paper, an effective opinion spammers detection approach is put forward.Based on the idea that the reviewer's reputation has a direct relation with the quality of reviews ...
doi:10.15837/ijccc.2019.6.3704
fatcat:a77kj6s4y5cgdl56xzublgcbei
Aspect Term Extraction using Graph-based Semi-Supervised Learning
2020
Procedia Computer Science
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The proposed work is further extended to determine the polarity of the opinion words associated with the identified aspect terms in review sentence to generate visual aspect-based summary of review documents ...
Many supervised and unsupervised approaches have been proposed in the past for detecting and analyzing the sentiment of aspect terms. ...
This module summarizes the opinion posted by reviewers on the aspect terms rather than detecting the polarity of the review sentences. ...
doi:10.1016/j.procs.2020.03.249
fatcat:v5muuunsebfxrgtbbaaxvardfu
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