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Implicit and Explicit Knowledge Mining of Crowdsourced Communities: Architectural and Technology Verdicts

Husnain Mushtaq, Babur Hayat, Syed Azkar, Umair Bin, Muhammad Shahzad, Imran Siddique
2018 International Journal of Advanced Computer Science and Applications  
The use of social media especially community Q&A Sites by software development community has been increased significantly in past few years.  ...  The ever mounting data on these Q&A Sites has open up new horizons for research in multiple dimensions. Stackoverflow is repository of large amount of data related to software engineering.  ...  We believe, there is an apparent lack of knowledge mining of Community Q&A sites especially in context of decision making process of software engineering process: opinion mining.  ... 
doi:10.14569/ijacsa.2018.090114 fatcat:zc3pyvhf7nfyjay5omd6mfh53e

Ontology Reasoning Towards Sentimental Product Recommendations Explanations

2019 International journal of recent technology and engineering  
In this survey Firstly, various opinion-mining approaches are explored. Secondly, we reviewed sentiment-based and ontology based recommendation systems.  ...  Finally, prospects for the research in opinion mining is discussed.  ...  EXPLORED TECHNIQUES IN OPINION MINING Mining opinions from product reviews is a challenging task.  ... 
doi:10.35940/ijrte.c6852.098319 fatcat:takmhb4ernhnzh6trs2yhgtiwq

Current Trends in Text Mining for Social Media

Tajinder Singh, Madhu Kumari, Triveni Lal Pal, Ahsan Chauhan
2017 International Journal of Grid and Distributed Computing  
As text mining plays a significant and crucial role in discovery of these insights therefore its challenges and contribution in social media analysis must be explored extensively.  ...  The flow of information was unidirectional, in long established media i.e., B2C.  ...  A in closed time interval   2 1 ,t t . q A is analyzed from the  (peek time) for A by selecting a cluster with large number of tweets related to q A .  ... 
doi:10.14257/ijgdc.2017.10.6.02 fatcat:zl6yzig24ba7xgdsxlcj3yns4u

Enhancement of Infrequent Purchased Product Recommendation Using Data Mining Techniques [chapter]

Noraswaliza Abdullah, Yue Xu, Shlomo Geva, Mark Looi
2010 IFIP Advances in Information and Communication Technology  
Opinion mining and rough set association rule mining are applied to extract knowledge from user online reviews.  ...  The result of the experiment shows that the proposed approach, the Query Expansion Matching-based Search (QEMS), improves the performance of the existing Standard Matching-based Search (SMS) by recommending  ...  [5] proposed a model of feature-based opinion mining and summarization, which uses a lexicon-based method to determine whether the opinion expressed on a product feature is positive or negative.  ... 
doi:10.1007/978-3-642-15286-3_6 fatcat:45ls2m3hprfhfaqxsu2od3iy3e

SuperAgent: A Customer Service Chatbot for E-commerce Websites

Lei Cui, Shaohan Huang, Furu Wei, Chuanqi Tan, Chaoqun Duan, Ming Zhou
2017 Proceedings of ACL 2017, System Demonstrations  
Conventional customer service chatbots are usually based on human dialogue, yet significant issues in terms of data scale and privacy.  ...  Distinct from existing counterparts, SuperAgent takes advantage of data from in-page product descriptions as well as user-generated content from ecommerce websites, which is more practical and cost-effective  ...  The advantage of this design pattern is that we do not need to deploy web crawlers for the websites.  ... 
doi:10.18653/v1/p17-4017 dblp:conf/acl/CuiHWTDZ17 fatcat:xnfceluthnajrehffxtyrxlsni

Mining Users' Preference Similarities in E-commerce Systems Based on Webpage Navigation Logs

Ping Li, Chunxue Wu, Shaozhong Zhang, Xinwu Yu, Haidong Zhong
2017 International Journal of Computers Communications & Control  
In this article, we propose a web browsing history mining based user preference discovery method for e-commerce systems.  ...  Mining users' preference patterns in e-commerce systems is a fertile area for a great many application directions, such as shopping intention analysis, prediction and personalized recommendation.  ...  In this work we focus on web usage logs mining to find users' preferences, based on the opinion that web page navigation patterns resemble users may have similar interests.  ... 
doi:10.15837/ijccc.2017.5.2565 fatcat:rxmunsqelvbk5jxn3gkjnnppeu

Language-model-based pro/con classification of political text

Rawia Awadallah, Maya Ramanath, Gerhard Weikum
2010 Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '10  
Our approach extracts topic related terms, pro/con related terms, and pairs of topic related and pro/con related terms and uses them as the basis for constructing a pro query and a con query.  ...  Following standard LM techniques, a document is classified as pro or con depending on which of the query likelihoods is higher for the document. Our experiments show that our approach is promising.  ...  The proliferation of such opinion oriented content has led to renewed interest in sentiment analysis and opinion mining techniques to facilitate the automatic analysis and classification of opinions.  ... 
doi:10.1145/1835449.1835596 dblp:conf/sigir/AwadallahRW10 fatcat:lxf4inz2hnfkrjtzwcmmbzjfka

Visual Data Mining in a Q&A Based Social Media Website [chapter]

Jin Zhang, Yiming Zhao
2014 Library and Information Sciences  
Data mining methods and technologies have been applied to different social media environments but seldom applied to narrative information based Q&A sites.  ...  This paper aimed to employ visual data mining techniques to address health care consumer terms use behavior in the Yahoo!Answers.  ...  Open Access This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided  ... 
doi:10.1007/978-3-642-54812-3_5 fatcat:szqagm7sm5exhl2vochzjdhivi

Pillar 3 and Modelling of Stakeholders' Behaviour at the Commercial Bank Website during the Recent Financial Crisis

Michal Munk, Anna Pilkova, Jozef Kapusta, Peter Svec, Martin Drlik
2013 Procedia Computer Science  
The results show that there is in general a small interest of stakeholders in mandating the commercial financial information.  ...  The analysis can help better understand the rate of use of the mandatory and optional Pillar 3 information disclosure web pages at the commercial bank website in the recent financial crisis in Slovakia  ...  The authors of these papers are of one mind that the web usage mining process can be regarded as a three-phase process, consisting of the data preparation, pattern discovery and pattern analysis phase  ... 
doi:10.1016/j.procs.2013.05.343 fatcat:yoisoleuzjgf5f7vhrs2n2wcvi

An Enhanced Web Mining Approach for Product Usability Evaluation in Feature Fatigue Analysis using LDA Model and Association Rule Mining with Fruit Fly Algorithm

J. Midhunchakkaravarthy, S. Selva Brunda
2016 Indian Journal of Science and Technology  
This limitation is termed as Feature Fatigue (FF) in product usability analysis in web mining.  ...  Objectives: The rapid growth of E-commerce emphasizes the customers' attention on product purchases through large number of websites.  ...  A further analysis model is applied for analyzing FF. In 19 a syntactic approach for opinion mining was proposed.  ... 
doi:10.17485/ijst/2016/v9i8/84592 fatcat:va57vygk25dabckytfhn5p3nam

A Personalized Recommendation Algorithm based on Text Mining

Ningbin Zhang
2018 International Journal of Performability Engineering  
It proposed a hybrid recommendation algorithm based on opinion mining.  ...  This system combines web data mining technology, i.e., takes advantage of user-generated content by mining customers' online reviews.  ...  The paper proposed a personalized recommendation based on opinion mining, which is based on the product feature.  ... 
doi:10.23940/ijpe.18.07.p3.14011410 fatcat:fp2td4ejmrdqvfxlnw3ndoa66m

Detecting trends on the Web: A multidisciplinary approach

Rodrigo Dueñas-Fernández, Juan D. Velásquez, Gaston L'Huillier
2014 Information Fusion  
This paper introduces a framework for trend modeling and detection on the Web through the usage of Opinion Mining and Topic Modeling tools based on the fusion of freely available information.  ...  The proposed framework was applied to a set of 20 sources of documents over a period of 8 months.  ...  In this work, the opinion mining step will be focused in the usage of lexicon-based algorithms.  ... 
doi:10.1016/j.inffus.2014.01.006 fatcat:tqdm3az42rb33g5kidwgvptwry

Identification of Product's Features Based on Customer Reviews

Katarzyna Smietanka
2016 Position Papers of the 2016 Federated Conference on Computer Science and Information Systems  
The main aim of this paper is to present a method for mining reviews considering products' features, extracting products' features and preparing a summary of reviews.  ...  For that purpose a new promising technique-Rule-Based Similarity Model is used. The performance of the algorithm has been verified on online product review articles.  ...  There are lots of websites on which we can find customers' opinions about products or services.  ... 
doi:10.15439/2016f372 dblp:conf/fedcsis/Smietanka16 fatcat:v3yai73pojdyxmwkh5szfna5ju

Subject Index

2021 2021 7th International Conference on Web Research (ICWR)  
on Persian Language 5 ICWR202103 Optimization of Average Travel Time of Passengers in Tehran Metro Using Data Mining Methods 9 ICWR202104 On-demand Test as a Web Service Process (OTaaWS Process  ...  Opinion Mining:A Networked Analysis Approach 142 ICWR202125 Subjective Logic-Based Model to Consider Uncertainty in Information Diffusion 150 ICWR202126 An Importance-Performance Analysis of Factors  ... 
doi:10.1109/icwr51868.2021.9443145 fatcat:nv4gd2qljfbs3ptjv3dch33poi

Identifying Hidden Patterns in Students' Feedback through Cluster Analysis

Anwar Muhammad Abaidullah, Naseer Ahmed, Edriss Ali
2014 Journal of clean energy technologies  
The analysis and assessment of the students' feedback in improving the educational environment as well as enhancing students' learning experience is one of the critical issues for the higher education  ...  In this paper we present the analysis of students' feedback data using k-means clustering algorithm for effective decision making by educational community responsible for monitoring and reviewing the effectiveness  ...  ACKNOWLEDGMENT The authors wish to acknowledge the financial support provided by the Al Ghurair University and David Gil for providing the dataset available at UCI website.  ... 
doi:10.7763/ijcte.2015.v7.923 fatcat:pdnn3wjtdfauxet7tvxfata5oi
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