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Editorial: Affective and sentimental computing

Haoran Xie, Tak-Lam Wong, Fu Lee Wang, Raymond Wong, Xiaohui Tao, Ran Wang
2019 International Journal of Machine Learning and Cybernetics  
Therefore, the computational techniques and machine learning models for sentiment analysis, opinion mainlining, emotion classification and so on, which aims to understand the opinions and sentiments of  ...  These computational models and methods have been further revolutionized with the recent development of deep learning paradigms in artificial intelligence.  ...  In 'Using Long Short-Term Memory Deep Neural Networks for Aspect-based Sentiment Analysis of Arabic Reviews', authors use a character-level bidirectional LSTM for feature extraction and aspect-level LSTM  ... 
doi:10.1007/s13042-019-00977-8 fatcat:5lsalifn6ncbflltqltb5hcazy

SENTIMENT ANALYSIS FOR SOCIAL MEDIA: A SURVEY

Huyen Trang Phan, Ngoc Thanh Nguyen, Dosam Hwang
2021 Journal of Computer Science and Cybernetics  
Sentiments from opinions are a valuable data source for solving many issues. Therefore, sentiment analysis has developed into one of the most popular natural language processing fields.  ...  Hence, improving the performance of sentiment analysis methods or discovering new problems related to these methods is essential.  ...  Aspect-level sentiment analysis Aspect-level sentiment analysis is a method based on determining the polarity of each word and phrase in a lexicon [96] .  ... 
doi:10.15625/1813-9663/37/4/15892 fatcat:2dgv3sygovgelk3mffmvnmokay

Visual sentiment analysis via deep multiple clustered instance learning

Wenjing Gao, Wenjun Zhang, Haiyan Gao, Yonghua Zhu
2020 Journal of Intelligent & Fuzzy Systems  
Finally, we conduct extensive experiments on several datasets, and the experimental results verify the feasibility of our proposed approach for visual sentiment analysis.  ...  Based on the observation that visual sentiment is conveyed through many visual elements in images, we put forward to tackle visual sentiment analysis under multiple instance learning (MIL) formulation.  ...  Based on the structural similarity of the problems, we also integrate clustering algorithm to uncover the mid-level feature structure for visual sentiment analysis.  ... 
doi:10.3233/jifs-200675 fatcat:ix3hqllr7vdb5b76nvtdt6lyhe

Deep Sentiment Extraction using Fuzzy-Rule Based Deep Sentiment Analysis

SIREESHA JASTI, G. V. S. RAJ KUMAR
2022 International Journal of Advanced Computer Science and Applications  
It was observed that the fuzzy-rule based system achieved good accuracy compared with machine learning and deep learning based approaches.  ...  In recent years, the research on sentiment analysis started taking off because of a huge of amount of data is available on the social media like twitter, machine learning algorithms popularity is increased  ...  Finally, aspect level sentiment analysis, where the sentiment is determined on the aspects of an entity.  ... 
doi:10.14569/ijacsa.2022.0130650 fatcat:sfnzw2cwffhd7d2e6xy7onwa24

AI in Finance: Challenges, Techniques and Opportunities [article]

Longbing Cao
2021 arXiv   pre-print
We then structure and illustrate the data-driven analytics and learning of financial businesses and data.  ...  The comparison, criticism and discussion of classic vs. modern AI techniques for finance are followed.  ...  Typical methods include basic fuzzy approaches built on fuzzy set theories, fuzzy logic and fuzzy systems and hybrid methods integrating other models such as fuzzy neural networks, genetic fuzzy logic  ... 
arXiv:2107.09051v1 fatcat:g62cz4dqt5dcrbckn4lbveat3u

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.  ...  Due to research significance, this empirical research also highlights the limitation of different strategies and methods on exact aspects of theoretical framework for enhancing of performance.  ...  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

Subject Index

2021 2021 7th International Conference on Web Research (ICWR)  
Analysis 119 ICWR202147 Deep Learning-based Sentiment Analysis in Persian Language 287 ICWR202148 The Impact of Active Learning Algorithm on a Cross-lingual model in a Persian Sentiment Task 292 ICWR202149  ...  Deep Learning 71 ICWR202112 Using ParsBert on Augmented Data for Persian News Classification 78 ICWR202113 Autonomous Driving Systems: Developing an Approach Based on A* and Double Q-Learning  ... 
doi:10.1109/icwr51868.2021.9443145 fatcat:nv4gd2qljfbs3ptjv3dch33poi

Main Concepts, State of the Art and Future Research Questions in Sentiment Analysis

2015 Acta Polytechnica Hungarica  
First of all, the fundamental concepts and challenges of the research field known as Sentiment Analysis (SA) are presented.  ...  the central aspects of SA.  ...  [56] proposed a fuzzy logic based method for improving the summarisation of text, while Liu in [39] stressed one more time the important aspect of SA/OM of determining subjectivity by differentiating  ... 
doi:10.12700/aph.12.3.2015.3.6 fatcat:o5zrfk7mh5bprhjt5ddyxxy6sq

Ranking Tourist Attractions through Online Reviews: A Novel Method with Intuitionistic and Hesitant Fuzzy Information Based on Sentiment Analysis

Yong Qin, Xinxin Wang, Zeshui Xu
2021 International Journal of Fuzzy Systems  
To this end, this paper proposes a recommender system to rank the alternative TAs through online reviews based on aspect-level sentiment analysis and multi-criteria decision-making (MCDM) with intuitionistic  ...  Then, the online reviews related to these sub-criteria are transformed into the corresponding intuitionistic and hesitant fuzzy performance scores through aspect-level sentiment analysis.  ...  Acknowledgements The work was supported by the National Natural Science Foundation of China (Nos. 71571123 and 71771155) and the Fundamental Research Funds for the Central Universities (YJ202063, SXYPY202146  ... 
doi:10.1007/s40815-021-01131-9 fatcat:dkw36oq4zvb5jg7npgvbdqtuwu

Editorial for the special issue on "Research on methods of multimodal information fusion in emotion recognition"

Kaijian Xia, Tao Hu, Wen Si
2019 Personal and Ubiquitous Computing  
In the paper "Network text sentiment analysis method combining LDA text representation and GRU-CNN", a text sentiment analysis method combining Latent Dirichlet Allocation (LDA) text representation and  ...  hot news mining and public opinion guidance analysis based on sentiment computing in network social media.  ...  In the paper "Network text sentiment analysis method combining LDA text representation and GRU-CNN", a text sentiment analysis method combining Latent Dirichlet Allocation (LDA) text representation and  ... 
doi:10.1007/s00779-019-01260-x fatcat:6e7btyoj7zbtlahdghv23qkrye

Emotion Recognition for Education using Sentiment Analysis

María Lucia Barron-Estrada, Ramón Zatarain-Cabada, Raúl Oramas-Bustillos
2019 Research in Computing Science  
In the case of sentiment analysis in text, most of the research focuses on recognizing polarities (positive and negative).  ...  In this paper we present a sentiment analyzer for the recognition of polarities and emotions centered on learning using textual phrases written in Spanish in the field of computer science that can be used  ...  Methodology for Building and Integration of the Sentiment Analyzer The proposed methodology for the development of our work is based on the inductive scientific method that is organized into four stages  ... 
doi:10.13053/rcs-148-5-8 fatcat:vojof3uzazckxelxdmp4imtviq

Explainable Deep Attention Active Learning for Sentimental Analytics of Mental Disorder

Usman Ahmed, Rutvij H. Jhaveri, Gautam Srivastava, Jerry Chun-Wei Lin
2022 ACM Transactions on Asian and Low-Resource Language Information Processing  
To achieve this, we present a deep attention model based on fuzzy classification that uses the linguistic features of patient texts to build emotional lexicons.  ...  The proposed method incorporates a subset of unstructured data into the set for training and uses a similarity-based approach.  ...  The experimental results on many text sentiment datasets conirm the validity of the model. Another paper presents an aspect-based text analysis algorithm for Hindi.  ... 
doi:10.1145/3551890 fatcat:3ffyoktrnzdcnnoxprbbvacbay

A Review and Comparative Analysis of Sentiment Analysis Techniques

Shaha T. Al-Otaibi, Amal A. Al-Rasheed
2022 Informatica (Ljubljana, Tiskana izd.)  
Sentiment Analysis is one such method of handling this vast volume of data and extracting useful knowledge from it.  ...  The aim of this work is to study the sentiment analysis concept and present state-of-the-art techniques as well as provide a comparative study of these techniques.  ...  Deep learning is currently one of the best solutions for many sentiment analysis problems.  ... 
doi:10.31449/inf.v46i6.3991 fatcat:c7pfefmorraxhlv3vpdi4lzb6i

Spider Monkey Crow Optimization Algorithm with Deep Learning for Sentiment Classification and Information Retrieval

Aarti Chugh, Vivek Kumar Sharma, Sandeep Kumar, Anand Nayyar, Basit Qureshi, Manjot Kaur Bhatia, Charu Jain
2021 IEEE Access  
To retrieve the required review, the Fuzzy K-Nearest neighbor (Fuzzy-KNN) is employed to retrieve the review based on a distance measure.  ...  Several sentiment classification methodologies are devised for performing the sentiment analysis, but retrieval of information is not accurately performed, less effective, and less convergence speed.  ...  The method estimated the sentiments of users based on positive, negative, or neutral polarities. However, the method failed to embed a sentiment analysis engine for computing the sentiments.  ... 
doi:10.1109/access.2021.3055507 fatcat:h2exzhkoxfftbiljinfmjlrdmi

Authors Index

2021 2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)  
as a Smart Self-Service Cashier in the Pandemic Era Impact of Computer Vision With Deep Learning Approach in Medical Imaging Diagnosis Image Data Encryption Using DES Method Aspect Based Sentiment Analysis  ...  Lexicon-based and Transformer-based Sentiment Analysis on Code-mixed of Low-Resource Languages Covid-19 Vaccine Tweets -Sentiment Analysis Auto-Tracking Camera System for Remote Learning Using Face Detection  ...  Hendro Nindito Application of Internet of Things in Smart City: A Systematic Literature Review Hendro Nindito Cultural Tourism Technology Used and Themes: A Literature Review Hendy Tannady Analysis of  ... 
doi:10.1109/iccsai53272.2021.9609791 fatcat:oyxvcqwj3nf7tpa5fu2dagkzn4
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