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When social computing meets soft computing: opportunities and insights

Fei Hao, Doo-Soon Park, Zheng Pei
2018 Human-Centric Computing and Information Sciences  
This paper aims to survey various SNA approaches using soft computing techniques such as fuzzy logic, formal concept analysis, rough sets theory and soft set theory.  ...  In order to better cope with these burning issues, advances on soft computing technologies, such as fuzzy set, formal concept analysis and rough set theories, probabilistic computing, as well as neural  ...  marketing [76] , social recommendation and sentiment analysis [77] .  ... 
doi:10.1186/s13673-018-0131-z fatcat:wpndgifehneazfevku6vuewzf4

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  
Moreover, most sophisticated soft-computing methods and techniques are reviewed in terms of analysis, comparison and evaluation for its performance based on electronic textual data.  ...  Text mining methods and techniques have disclosed the mining task throughout information retrieval discipline in the field of soft computing techniques.  ...  ACKNOWLEDGEMENTS This research work was partially supported by International Islamic University Malaysia, FRGS14-127-0368 and ERGS13-018-0051 from Ministry of Higher Education of Malaysia.  ... 
doi:10.11591/ijeecs.v10.i2.pp770-777 fatcat:n5hf2opjczdfneo5lnhtg6eske

Text Based Restaurant Recommendation System using End-To-End Memory Network

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
We suggest using a novel memory based end-to-end network mechanism to reduce the need for long term dependencies and to reduce the need for memory intensive systems.  ...  To bridge this gap, there has been an influx of recommendation systems in the markets.  ...  The latter in particular, discusses the cutting edge Latent Dirichlet Allocation mechanisms for sentiment analysis of user social sentiment by leveraging and mining chinese social reviews.  ... 
doi:10.35940/ijitee.b8108.019320 fatcat:orvk3yvejjfvjed7iywg2ncv7y

Application of recommendation system with AHP method and sentiment analysis

Ira Prasetyaningrum, Kholid Fathoni, Tri Tangguh Jiwo Priyantoro
2020 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
Sentiment analysis is the process of understanding, extracting, and processing textual data to get sentiment information from an opinion sentence.  ...  This research provides a system that can provide recommendations for decision support people according to their criteria, which are web-based.  ...  Application of recommendation system with AHP method and sentiment analysis (Ira Prasetyaningrum) User survey 1348 Table 1 . 13481 TELKOMNIKA Telecommun Comput El Control, Vol. 18, No. 3, June 2020:  ... 
doi:10.12928/telkomnika.v18i3.14778 fatcat:w4pcleuosbbjzbjze2sgcztlja

Intelligent computational techniques for multimodal data

Shishir Kumar, Prabhat Mahanti, Su-Jing Wang
2019 Multimedia tools and applications  
This guest editorial introduces the special issue on "Intelligent Computational Techniques for Multimodal Data".  ...  The goal of this special issue was to solve a variety of real-life problems which have uncertainty, imprecision, vagueness, resulting in high performance applications or prototypes for real time system  ...  computational techniques, models and empirical analysis in the multimedia development area.  ... 
doi:10.1007/s11042-019-07936-z fatcat:icmwanpmgbd77cdv47nminn4ee

Social media mining for smart cities and smart villages research

Miltiadis D. Lytras, Anna Visvizi, Jari Jussila
2020 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
and skills of cities' inhabitants.  ...  Social mining is traditionally understood as the process of representing, analyzing, and extracting actionable patterns and trends from raw social media data.  ...  systems • Unifying user similarity and social trust to generate powerful recommendations for smart cities using collaborating filtering-based recommender systems • Towards Cyberbullying-free social media  ... 
doi:10.1007/s00500-020-05084-3 pmid:32837290 pmcid:PMC7278232 fatcat:euacwkmtbbdnbflwed7zkiddoy

Movie Recommendation System Modeling Using Machine Learning

Raja Marappan, S. Bhaskaran
2022 Trends Journal of Sciences Research  
This work focuses on developing a movie recommender system using a model that incorporates both cosine similarity and sentiment analysis.  ...  To reduce human effort by proposing movies based on the user's interests efficiently and effectively without wasting much time in pointless browsing, the movie recommendation system is designed to assist  ...  In the future, different soft computing strategies can be mixed to develop a hybrid recommendation system [14, [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] . Figure 1 . 1 Figure 1.  ... 
doi:10.31586/ijmebac.2022.291 fatcat:gkudvipyajei7mnxotb5ddro7e

Deep Sentiment Learning for Measuring Similarity Recommendations in Twitter Data

S. Manikandan, P. Dhanalakshmi, K. C. Rajeswari, A. Delphin Carolina Rani
2022 Intelligent Automation and Soft Computing  
The similarity recommendation of twitter data is evaluated by using sentiment analysis method.  ...  The content based recommendation system is proposed for selecting similarity index in twitter data using deep sentiment learning method.  ...  Funding Statement: The authors received no specific funding for this study. Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study.  ... 
doi:10.32604/iasc.2022.023469 fatcat:zvwwavfvgzbbzmnkna6odpnq6y

Emotional Techy Basyang: An Automated Filipino Narrative Storyteller

John Christopher P. Gonzaga, Jemimah A. Seguerra, Jhonnel A. Turingan, Mel Patrick A. Ulit, Ria A. Sagum
2014 International Journal of Future Computer and Communication  
This study is specifically concerned in developing a storyteller application which uses sentiment analysis and includes Text-to-Speech (TTS) that converts the input text story into its audio output.  ...  Concatenative synthesis was the algorithm used in the TTS process wherein every speech audio that represents each syllables will be concatenated to each other with some pauses for speech turns and delimiters  ...  ACKNOWLEDGMENT Our sincerely gratitude to our families for their love and support during our thesis development, to Ernesto Rondon High School for allowing us to implement in their school and to our Almighty  ... 
doi:10.7763/ijfcc.2014.v3.310 fatcat:r6wna7rz6fad7ddl46npsiyire

AN EXPERIMENTAL ANALYSIS ON ECOMMERCE REVIEWS,WITH SENTIMENT CLASSIFICATION USING OPINION MINING ON WEB

Latha S S
2021 International Journal of Engineering Applied Sciences and Technology  
List of Products based on highest value of FEM for searched features and product recommendations are generated based on the user searched feature.  ...  This paper empathizes on the need of an attempt to improve research process and progress of sentiment analysis on the basis of investigation. Outcome of the analysis are summarized in this paper.  ...  Soft computing methods are strenuously conveyed in Ecommerce businesses as information warehousing, and "soft computing" is the core of information warehousing or of some other drive innovations today  ... 
doi:10.33564/ijeast.2021.v05i11.045 fatcat:iahzlzcr5bhgdf3wc36socneh4

Improving the quality of predictions using textual information in online user reviews

Gayatree Ganu, Yogesh Kakodkar, Amélie Marian
2013 Information Systems  
However, most reviews are written in a free-text format, usually with very scant structured metadata information and are therefore difficult for computers to understand, analyze, and aggregate.  ...  We then group similar users together using soft clustering techniques based on the topics and sentiments that appear in the reviews.  ...  Acknowledgment This work was partially supported by a Google Research Award and NSF grant IIS-0844935.  ... 
doi:10.1016/j.is.2012.03.001 fatcat:saapiaoenff6fizynrwvhtk5um

The Prefiltering Techniques in Emotion Based Place Recommendation Derived by User Reviews

U. A. Piumi Ishanka, Takashi Yukawa
2017 Applied Computational Intelligence and Soft Computing  
We developed a new corpus that incorporates the emotion parameter by employing semantic analysis techniques for destination recommendation.  ...  We review the effectiveness of incorporating emotion in a recommendation process using prefiltering techniques and show that the use of emotion as a contextual parameter for location recommendation in  ...  . 2 Applied Computational Intelligence and Soft Computing Predictions Recommendations active users Items Users Ratings table + Top-N list of items for j for active user P a,j -prediction  ... 
doi:10.1155/2017/5680398 fatcat:aorsbjkgl5bn7gsv25latfmeey

Personalized Recommendations Based on Sentimental Interest Community Detection

Jianxing Zheng, Yanjie Wang
2018 Scientific Programming  
Communities have become a popular platform of mining interests for recommender systems. The semantics of topics reflect users' implicit interests.  ...  Then, by combining semantic and sentimental factors, resonance relationship is computed to evaluate the resonance relationship of users.  ...  Acknowledgments This work was partially supported by Youth Science Fund Project of the National Natural Science Foundation of China (no. 61603229) and the project of the Natural Science Foundation of Shanxi  ... 
doi:10.1155/2018/8503452 fatcat:5a5mizfl6bg4hkcz5ic5n2l5pm

Cyclegen: Cyclic consistency based product review generator from attributes

Vasu Sharma, Harsh Sharma, Ankita Bishnu, Labhesh Patel
2018 Proceedings of the 11th International Conference on Natural Language Generation  
We combine this with a sentiment analysis system which performs the complimentary task of assigning ratings to reviews based purely on the textual content of the review.  ...  The use of 'soft' generation and cyclic consistency allows us to train our model in an end to end fashion. We demonstrate the working of our model on product reviews from Amazon dataset.  ...  Sentiment Analysis Rating Predictor For sentiment analysis we use a bidirectional RNN with Gated Recurrent Units (GRU) (Chung et al., 2014) pipeline which takes as input the generated review and generates  ... 
doi:10.18653/v1/w18-6552 dblp:conf/inlg/SharmaSBP18 fatcat:lzzsloil5nghje7zcsurweivuu

Beyond the Stars: Improving Rating Predictions using Review Text Content

Gayatree Ganu, Noemie Elhadad, Amélie Marian
2009 International Workshop on the Web and Databases  
However, most reviews are written in a free-text format, and are therefore difficult for computer systems to understand, analyze, and aggregate.  ...  User experience would be greatly improved if the structure and sentiment conveyed in the content of the reviews were taken into account.  ...  In particular, we developed techniques to classify and analyze text-and structure-based web reviews, and used the resulting analysis to improve personalized recommendations for web users.  ... 
dblp:conf/webdb/GanuEM09 fatcat:g77ofpvlfze2jm5lesllrnmlg4
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