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Summarizing User Opinions: A Method for Labeled-data Scarce Product Domains

Neethu Kurian, Shimmi Asokan
2015 Procedia Computer Science  
Product reviews contain valuable information that can influence the online purchases. Extracting relevant opinions regarding the product by merely reading all the reviews is a herculean task.  ...  We solve the problems of existing methods by using cross-domain sentiment classification coupled with distributional similarity of opinion words to classify and summarize product reviews.  ...  They extracted noun phrases from the parsed reviews and classified them into parts and properties with the help of WordNet.  ... 
doi:10.1016/j.procs.2015.01.062 fatcat:3wx6rscgqrfqxcsnp6pyxems5u

Mining Opinion Targets from Text Documents: A Review

Khairullah Khan, Baharum B. Baharudin, Aurangzeb Khan
2013 Journal of Emerging Technologies in Web Intelligence  
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.  ...  The model uses logical rules and data integration to reason about product specific properties and the higherorder knowledge of product features.  ...  Feature grouping is an important task for summarization of opinion. Same features can be expressed by different synonyms, words or phrases.  ... 
doi:10.4304/jetwi.5.4.343-353 fatcat:7kcp73wembbtrcluapnhifxjdi

Feature-Based Summarizing And Ranking From Customer Reviews

Dim En Nyaung, Thin Lai Lai Thein
2015 Zenodo  
Therefore, opinion mining techniques become popular to automatically process customer reviews for extracting product features and user opinions expressed over them.  ...  The polarity and numeric score of all the features are determined by Senti-WordNet Lexicon.  ...  We do not summarize the reviews by selecting a subset or rewrite some of the original sentences from the reviews to capture the main points as in the classic text summarization.  ... 
doi:10.5281/zenodo.1099981 fatcat:rqyrz7msfnclxhsfzgmv6ylp5y

Extracting Product Aspect and Opinions from Reviews using Sentimental Analysis Algorithm

Sermakani S
2019 International Journal for Research in Applied Science and Engineering Technology  
the positive, negative and neutral reviews of product by the sentiment classifier and also proposing the ranking algorithm used for the product ranking.  ...  The main aim of sentiment classifier is to classify the review. Prioritize the product as per the ranking and trigger the product details to user which has been currently updated in market.  ...  aims to summarize consumer reviews by selecting informative review sentences.  ... 
doi:10.22214/ijraset.2019.3231 fatcat:u2a6zyczdfhbpookidwyz236yu

FEROM: Feature Extraction and Refinement for Opinion Mining

Hana Jeong
2011 ETRI Journal  
To solve these problems, this paper proposes an enhanced feature extraction and refinement method called FEROM that effectively extracts correct features from review data by exploiting both grammatical  ...  properties and semantic characteristics of feature words and refines the features by recognizing and merging similar ones.  ...  During this process, the opinion information expressed by some opinion phrases is exploited to measure the similarities among candidate features.  ... 
doi:10.4218/etrij.11.0110.0627 fatcat:33fjbpfajnaejexapznp2odtmm

A Review of Unsupervised Approaches of Opinion Target Extraction from Unstructured Reviews

Khairullah Khan, Baharum Baharudin, Aurangzeb Khan
2014 Research Journal of Applied Sciences Engineering and Technology  
This study presents a review of the state of the art unsupervised approaches for opinion target identification due to its potential applications in opinion mining from web documents.  ...  The model uses logical rules and data integration to reason about product specific properties and the higher-order knowledge of product features.  ...  Feature grouping is an important task for summarization of opinion. Same features can be expressed by different synonyms, words or phrases.  ... 
doi:10.19026/rjaset.7.543 fatcat:wl53ru63ajes5imkbf4ktqn6em

Detection and summarization of genuine review using Visual Data Mining

Jagruti Prajapati, Malay Bhatt, Dinesh J. Prajapati
2012 International Journal of Computer Applications  
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.  ...  Merchants are also selling their products online and at a same time they are asking customer's review regarding products, which customer has bought.  ...  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

Explaining Recommendations by Means of User Reviews

Tim Donkers, Benedikt Loepp, Jürgen Ziegler
2018 International Conference on Intelligent User Interfaces  
In many cases, however, recommendation methods are employed in scenarios where users not only rate items, but also provide feedback in the form of tags or written product reviews.  ...  The field of recommender systems has seen substantial progress in recent years in terms of algorithmic sophistication and quality of recommendations as measured by standard accuracy metrics.  ...  The approach proposed in [25] actually exploits review data, but is limited to identifying sentiments on a phrase-level to highlight product features the user is particularly interested in.  ... 
dblp:conf/iui/DonkersL018 fatcat:ioxdf4yb7rgw3emj364kkmpbeu

Mining opinion components from unstructured reviews: A review

Khairullah Khan, Baharum Baharudin, Aurnagzeb Khan, Ashraf Ullah
2014 Journal of King Saud University: Computer and Information Sciences  
Because of the huge number of reviews in the form of unstructured text, it is impossible to summarize the information manually.  ...  Accordingly, efficient computational methods are needed for mining and summarizing the reviews from corpuses and Web documents.  ...  The model uses logical rules and data integration to reason about product specific properties and the higher-order knowledge of product features.  ... 
doi:10.1016/j.jksuci.2014.03.009 fatcat:oma2lylgpzc7noalvewtsbtdqa

A Review of Opinion Mining Methods for Analyzing Citizens' Contributions in Public Policy Debate [chapter]

Manolis Maragoudakis, Euripidis Loukis, Yannis Charalabidis
2011 Lecture Notes in Computer Science  
This paper reviews a wide range of opinion mining methods, which have been developed for analyzing commercial product opinions and reviews posted on the Web, as to the capabilities they can offer for meeting  ...  government policies and decisions under formation, which contain valuable relevant opinions and knowledge of the society, however are exploited to a limited only extent.  ...  Its initial motivation has been to enable firms to analyze online reviews and comments entered by users of their products in various review sites, blogs, forums, etc., in order to draw general conclusions  ... 
doi:10.1007/978-3-642-23333-3_26 fatcat:aotoanou5ffjld3w53mlc2pvvu

Needs-based analysis of online customer reviews

Thomas Y. Lee
2007 Proceedings of the ninth international conference on Electronic commerce - ICEC '07  
We model the knowledgebase of online customer reviews as a matrix of reviews relating customer needs to product attributes.  ...  The method is demonstrated on 10,500 customer reviews over two unrelated product domains, digital cameras and vacuum cleaners.  ...  Indeed this intuition about review structure is exploited by Lee to learn the properties of product attributes [16] .  ... 
doi:10.1145/1282100.1282159 dblp:conf/ACMicec/Lee07 fatcat:balocj5tangbjbgadcfiab4jg4

A Hybrid Approach to Multi-document Summarization of Opinions in Reviews

Giuseppe Di Fabbrizio, Amanda Stent, Robert Gaizauskas
2014 Proceedings of the 8th International Natural Language Generation Conference (INLG)  
We present a hybrid method to generate summaries of product and services reviews by combining natural language generation and salient sentence selection techniques.  ...  Our system, STARLET-H, receives as input textual reviews with associated rated topics, and produces as output a natural language document summarizing the opinions expressed in the reviews.  ...  who is making claims that they read in review summaries.  ... 
doi:10.3115/v1/w14-4408 dblp:conf/inlg/FabbrizioSG14 fatcat:l7gqxy3mjre3zkdyhalrzubod4

Service-Aware Interactive Presentation of Items for Decision-Making

Noemi Mauro, Liliana Ardissono, Sara Capecchi, Rosario Galioto
2020 Applied Sciences  
We applied it to the home booking domain by developing the Apartment Monitoring application that supports overviewing and analyzing online reviews about rented homes.  ...  feedback aimed at making the user aware of the service properties in all the stages of fruition, focusing on the data that is most relevant to her/him.  ...  On this basis, INTEREST generates a visual, interactive representation of the item aimed at summarizing its properties.  ... 
doi:10.3390/app10165599 fatcat:nsivsvpoqbb3dgw5lmjgoi2s2e

A perspective on process synthesis: Challenges and prospects

Selen Cremaschi
2015 Computers and Chemical Engineering  
Driven by energy and environmental concerns and challenged by introduction of new raw materials, this author anticipates significant advances in: (1) novel approaches that integrate experimental studies  ...  Also, the financial support provided by NSF CAREER Award No 1055974 and Chevron Energy Technology Company is greatly acknowledged.  ...  A brief review of the PSE contributions to the synthesis of distillation column sequences up to 2004 is summarized by (Westerberg, 2004) .  ... 
doi:10.1016/j.compchemeng.2015.05.007 fatcat:yg7biurq6jbafegpypr5mci7zm

Web Content Mining [chapter]

Guandong Xu, Yanchun Zhang, Lin Li
2010 Web Mining and Social Networking  
One can post reviews of products at merchant sites, Web forums, discussion groups, blogs Techniques are being developed to exploit these sources to help companies and individuals to gain market intelligence  ...  Extraction of product features commented by consumers.  ...  Identify important phrases using 1. HTML emphasizing tags, e.g., <h1>, …, <h4>, <b>, <strong>, <big>, <i>, , <u>, <li>, <dt>. 2. Language patterns. 3.  ... 
doi:10.1007/978-1-4419-7735-9_4 fatcat:nsqi7v7enjbfnjp72ohs2ejtyu
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