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Context Based Classification of Reviews Using Association Rule Mining, Fuzzy Logics and Ontology

Razia Sulthana A, Subburaj Ramasamy
2017 Bulletin of Electrical Engineering and Informatics  
In this paper, we propose a new framework called Fuzzy based contextual recommendation system.  ...  For classification of customer reviews we extract the information from the reviews based on the context given by users. We use text mining techniques to tag the review and extract context.  ...  Bulletin of EEI Text mining techniques [8] in contextual recommendations for products based on the user recommendations extracts the contextual information.  ... 
doi:10.11591/eei.v6i3.682 fatcat:mnxt35mjfzhfhh2pmtovfy4c6m

Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review

Camila Sundermann, Marcos Domingues, Roberta Sinoara, Ricardo Marcacini, Solange Rezende
2019 Information  
Given the importance of this type of texts and their usage along with opinion mining and contextual information extraction techniques for recommender systems, we present a systematic review on the recommender  ...  systems that explore both contextual information and opinion mining.  ...  of user's texts and the use of opinion mining and contextual information extraction techniques for recommender systems, we present, in this paper, a systematic review on the recommender systems that use  ... 
doi:10.3390/info10020042 fatcat:lgljoxtgtnahzfi55pig6ibp4q

Analysis on Increasing Customer Sales by the Use of Restaurant Recommender System

M. Ashrafa, M. Lalitha, D. Radha, R. Jayaparvathy
2016 International Journal of Computer Applications  
General Terms Restaurant recommender system, customer behavior, clustering, data mining.  ...  In a restaurant recommender system the main focus is on the user rating or perhaps the customer satisfaction that is significant of all.  ...  This serves as a semantic restaurant recommender system that blends social and contextual aspects that was used as the test base.  ... 
doi:10.5120/ijca2016909178 fatcat:ui4g7fjfynfhjnhc6it2co5xvq

Technical Approach in Text Mining for Stock Market Prediction: A Systematic Review

Mohammad Rabiul Islam, Imad Fakhri Al-Shaikhli, Rizal Bin Mohd Nor, Vijayakumar Varadarajan
2018 Indonesian Journal of Electrical Engineering and Computer Science  
This empirical research of text mining role on financial text analysing in where stock predictive model need to improve based on rank search method.  ...  Text mining methods and techniques have disclosed the mining task throughout information retrieval discipline in the field of soft computing techniques.  ...  . • Content-based recommendation • Utility-based recommendation • Collaborative recommendation • Knowledge-based recommendation • Demographic recommendation As seen from the research news recommendation  ... 
doi:10.11591/ijeecs.v10.i2.pp770-777 fatcat:n5hf2opjczdfneo5lnhtg6eske

A semantic approach to recommending text advertisements for images

Weinan Zhang, Li Tian, Xinruo Sun, Haofen Wang, Yong Yu
2012 Proceedings of the sixth ACM conference on Recommender systems - RecSys '12  
There are two existing approaches, advertisement search based on image annotation, and more recently, advertisement matching based on feature translation between images and texts.  ...  Visual contextual advertising, a young research area, refers to finding relevant text advertisements for a target image without any textual information (e.g., tags).  ...  Image annotation [4, 11] is one approach to visual contextual advertising. Intuitively, given a target image, text annotations are extracted based on a model trained by labeled images.  ... 
doi:10.1145/2365952.2365987 dblp:conf/recsys/ZhangTSWY12 fatcat:nhrrho4am5hijnzlpwhvtuzmdq

Editorial for the Special Issue on "Modern Recommender Systems: Approaches, Challenges and Applications"

Costas Vassilakis, Dionisis Margaris
2019 Information  
Recommender systems are nowadays an indispensable part of most personalized systems implementing information access and content delivery, supporting a great variety of user activities [...]  ...  To this end, they present a systematic and comprehensive review on recommender systems that explores both contextual information and opinion mining.  ...  of users in the context of opinion mining and contextual information extraction techniques for recommender systems.  ... 
doi:10.3390/info10070230 fatcat:zvdlugwzyrag5epon22r3we32u

Combining Privileged Information to Improve Context-Aware Recommender Systems [article]

Camila V. Sundermann and Marcos A. Domingues and Ricardo M. Marcacini and Solange O. Rezende
2019 arXiv   pre-print
One of the major challenges in context-aware recommender systems research is the lack of automatic methods to obtain contextual information for these systems.  ...  Context-aware recommender systems (CARS) learn and predict the tastes and preferences of users by incorporating available contextual information in the recommendation process.  ...  All the context-aware recommendation algorithms used in this work are based on the Item-Based Collaborative Filtering. They are presented in the next section. D.  ... 
arXiv:1511.02290v3 fatcat:f6ba4lagwzdaldhxxhnoihgloe

Review Based Rating Prediction [article]

Tal Hadad
2016 arXiv   pre-print
We introduce a review-based recommendation approach that obtains contextual information by mining user reviews.  ...  As an example application, we used our method to mine contextual data from customers' reviews of movies and use it to produce review-based rating prediction.  ...  As an example application, we have used our methods to mine contextual data from customers' reviews of movies in Amazon's dataset and used it to produce review-based recommendations.  ... 
arXiv:1607.00024v4 fatcat:nkeg3cttc5dmjfenogflkgcgiu

Tackling Incompleteness in Information Extraction – A Complementarity Approach [chapter]

Christina Feilmayr
2012 Lecture Notes in Computer Science  
For these purposes, a recommendation model that determines which methods can attack a specific problem is proposed.  ...  In this context, complementarity is the combination of pieces of information from different sources, resulting in (i) reassessment of contextual information and suggestion generation and (ii) better assessment  ...  Hence, the main contribution is threefold: (i) A recommendation model, which supports the user in selecting appropriate text mining tasks and data mining methods (in accordance with the identified incompleteness  ... 
doi:10.1007/978-3-642-30284-8_61 fatcat:rafr7otdezfh5bzfxw45qlu7e4

Contextual Text Mining Framework for Unstructured Textual Judicial Corpora through Ontologies

Zubair Nabi, Ramzan Talib, Muhammad Kashif Hanif, Muhammad Awais
2022 Computer systems science and engineering  
This framework comprises on the judicial corpus, text mining processing resources and ontologies for mining contextual text from corpora to make text and data mining more reliable and fast.  ...  This research paper presents a three tier contextual text mining framework through ontologies for judicial corpora.  ...  Our research work focused on the ontology-based contextual text mining framework using the judicial corpora of the supreme court of Pakistan's previously judged case data.  ... 
doi:10.32604/csse.2022.025712 fatcat:ey4awnzatrattctyv4yfmewfoi

Rating Prediction of Social Sentiment from Textual Review By Recognizing Contextual Polarity

Pravin Nimbalkar, Komal Sonwalkar
2018 Journal of Advances and Scholarly Researches in Allied Education  
However mining valuable information from these reviews for recommendation of product crucial task.  ...  Both the product owner and the user can identify the quality of the product based on the sentiment graph that is generated based on the reviews for each of the product.  ...  INTRODUCTION Currently, with the growing amount of online reviews available on the Internet. sentiment analysis and opinion mining, as a special text mining task for determining the subjective attitude  ... 
doi:10.29070/15/57054 fatcat:xk57i3243rfgfmzilqzqxqq5zm

Context-Aware and Sequential Pattern Mining based recommendations for Research Papers: A Hybrid Approach

Hafiz Amaad, Naveed Jhamat, Kashif Riaz, Zeeshan Arshad
2020 Journal of information communication technologies and robotic applications  
is used to measure predictions based on correlations between scholars and generate context-aware and sequential trend mining based recommendations for the targeted scholars.  ...  Context-awareness in our methodology involves the scholar's contextual state, such as skill level and research goals; SPM is used to mine weblogs and reveal sequential access actions of scholars, and CF  ...  FreeSpan classifies the database and subdatabases based on an anticipated set of items and then mines [78] .  ... 
doi:10.51239/jictra.v0i0.240 fatcat:zqmy7hk2yzhwvfjiqsisk36dwa

Context extraction from reviews for Context Aware Recommendation using Text Classification techniques

Fatima Zahra Lahlou, Houda Benbrahimand, Asmaa Mountassir, Ismail Kassou
2013 2013 ACS International Conference on Computer Systems and Applications (AICCSA)  
In this paper, we investigate the use of Text Classification techniques to extract contextual information from user reviews for Context Aware Recommendation.  ...  To extract context from user reviews with text classification techniques, we recommend to use raw text rather than employing stemming, to use the normalized frequency based weighting rather than the presence  ...  We recommend to use TFIDF or normalized frequency based weighting rather than presence based weighting.  ... 
doi:10.1109/aiccsa.2013.6616512 dblp:conf/aiccsa/LahlouBMK13 fatcat:gdscwytgrfd7bfscsxxq37kety

Location-aware computing to mobile services recommendation: Theory and practice

Honghao Gao, Andrés Muñoz, Wenbing Zhao, Yuyu Yin
2020 Journal of Ambient Intelligence and Smart Environments  
In the paper entitled "Improved location filtering using a context-aware approach", Iuon-Chang Lin, Chen-Yang Cheng and Yen-Ting Lin present a recommender system that recommends the route based on mining  ...  network monitoring based on Mobile CrowdSensing.  ...  In the paper entitled "Improved location filtering using a context-aware approach", Iuon-Chang Lin, Chen-Yang Cheng and Yen-Ting Lin present a recommender system that recommends the route based on mining  ... 
doi:10.3233/ais-200588 fatcat:kq5kxix6u5b3fcyopk7edkfs3i

Design And Development Of Context-Aware Recommendation Strategy For E-Learning

Shaina Raza, Syed Raza Bashir, Muhammad Tahir Hameed, Muhammad Jawwad Zaheer
2015 VFAST Transactions on Software Engineering  
The existing approaches in this regard focus on learners' ratings, history, behavior and interests, rather ignored the knowledge gain and learning outcomes by the learners.  ...  The practice of retrieving and recommending Learning Objects (LOs) to the learners according to their specific needs and requirements has been a very active research area in e-learning.  ...  Context-Aware Recommender Systems (CARS) has evolved recently to demonstrate the potential contextual recommendations in web-based learning [55] .  ... 
doi:10.21015/vtse.v7i2.340 fatcat:g2srjkrg7nhnhpiko5sigkj54a
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