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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 papers not only contain various applications like social media, spam analysis, opinion mining but also survey studies about social networks and recommender systems.  ...  'A Hybrid Model for Opinion Mining based on Domain Sentiment Dictionary' proposes a hybrid method for opinion mining by proposing three layers sentiment dictionary to improve various conventional classification  ... 
doi:10.1007/s13042-019-00977-8 fatcat:5lsalifn6ncbflltqltb5hcazy

Incorporating sentimental analysis into development of a hybrid classification model

Chamandeep Kaur, Mawahib Sharafeldin Adam Boush, Samar Mansoor Hassen, Wafaa Abushmlah Hakami, Mohammed Hassan Osman Abdalraheem, Najla Mohammed Galam, Nedaa Abdulaziz Hadi, Nedaa Abdulaziz Hadi, Atheer Omar S Benjeed
2022 International Journal of Health Sciences  
Sentimental analysis, also known as "opinion mining," is a type of data mining that follows the concept of emotional analysis presented by people in a thoughtful manner.  ...  Based on user feedback or historical data, the hybrid model serves as an effective classifier, assisting in the development of more accurate classification results.  ...  Extracting and analyzing other people's thoughts about an item is known as "opinion mining" (OM).  ... 
doi:10.53730/ijhs.v6ns1.4924 fatcat:oc4j3kgnbrdlfoxmtsnj66oafy

Opinion mining for national security: techniques, domain applications, challenges and research opportunities

Noor Afiza Mat Razali, Nur Atiqah Malizan, Nor Asiakin Hasbullah, Muslihah Wook, Norulzahrah Mohd Zainuddin, Khairul Khalil Ishak, Suzaimah Ramli, Sazali Sukardi
2021 Journal of Big Data  
Background Opinion mining, or sentiment analysis, is a field in Natural Language Processing (NLP).  ...  Also, this theoretical analysis will act as a reference to researchers regarding the Kansei approach as one of the techniques to improve hybrid approaches in opinion mining.  ...  The authors fully acknowledge UPNM and MOHE for the approved fund, which made this research viable and effective.  ... 
doi:10.1186/s40537-021-00536-5 pmid:34900516 pmcid:PMC8642766 fatcat:gnbhgoafnngkzdyjspvrqqgxli

A HYBRID METHOD PROPOSED FOR BEHAVIOURAL ANALYSIS ON TWITTER OPINION DATA USING DICTIONARY AND SEMANTIC BASED APPROACH

Shelly Gupta
2018 International Journal of Advanced Research in Computer Science  
The proposed mining of opinions has become easier and more accurate that can be utilized for product's sale forecasting.  ...  The hybrid approach is using the concepts of dictionary-based approach and semantic-based approach i.e. matching words from the dictionary and assigning their sentimental value and also using some specific  ...  in applications like sentiment analysis and opinion mining.  ... 
doi:10.26483/ijarcs.v9i2.5581 fatcat:dpuqgpvnbrbktpj4qvtb7rlwji

Multi-Classifier based Sentiment Analysis for Opinionated Data Posted in Social Networking

Partha Sarker, Siddhartha Roy
2020 International journal of computer science and mobile computing  
Sentiment analysis is an emerging field in the research area is used to analyse and extracts the opinion from the given review and the analysis process includes natural language processing (NLP), computational  ...  In this paper, we use the multi-classifier model in the area of Sentiment Analysis using Support Vector Machine which worked on review /opinion posted on social network/ twitter.  ...  Binali et al., (2009), which proposed an opinion mining model and revealed novel research areas.  ... 
doi:10.47760/ijcsmc.2020.v09i12.009 fatcat:ghb5tzjjtrdfjlxrqsbgqroh5e

Intelligent Opinion Mining and Sentiment Analysis Using Artificial Neural Networks [chapter]

Keith Douglas Stuart, Maciej Majewski
2015 Lecture Notes in Computer Science  
The article formulates a rigorously developed concept of opinion mining and sentiment analysis using hybrid neural networks.  ...  Intelligent opinion mining and sentiment analysis using artificial neural networks. Abstract.  ...  The sentiment analysis is modeled with a linear combination of sentiment scores to produce an opinion approximation.  ... 
doi:10.1007/978-3-319-26561-2_13 fatcat:kfomlex6hfcabdrjk2lyqxwyve

A Novel on Classification Techniques of News with Help of Sentiment Detection

2020 International journal of recent technology and engineering  
We have sufficient data to build a system that uses hybrid techniques like Naïve Bayes and combines the existing models to perform sentiment analysis on a dataset and study its results.  ...  The sentiment analysis problem requires to take as input a block of text and correctly predict the sentiment of the writer or the speaker of the text.  ...  collaborated to develop an even powerful model for sentiment analysis.  ... 
doi:10.35940/ijrte.e6635.038620 fatcat:neqkacwyibhz5fmkeol7s3d724

Enhanced Medical Tweet Opinion Mining using Improved Dolphin Echolocation Algorithm Based Feature Selection

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
This paper focuses on developing an opinion mining framework for automated analysis of tweet opinions using efficient feature selection and classification algorithms.  ...  Feature specific opinion analysis provides highly accurate and effective classification and categorization of public opinions.  ...  INTRODUCTION Sentiment analysis from the social networking data is an interesting research topic as it improves the accuracy and effectiveness of public opinion mining [1] .  ... 
doi:10.35940/ijitee.j9317.0881019 fatcat:ba4u7s2grjfwhi3axjzaqtfp6e

An Efficient Model for Mining Outlier Opinions

Neama Hassan, Laila A., Yehia K.
2020 International Journal of Advanced Computer Science and Applications  
In this paper, an efficient model for mining outlier opinions has been proposed.  ...  Accordingly, it can help the decision makers to improve the overall sentiment analysis process and perform further analysis on the outlier opinions to get better understanding for them and avoid their  ...  Accordingly, it utilizes both human and electronic intelligences. An alternative name of Opinion Mining is Sentiment Analysis [2] .  ... 
doi:10.14569/ijacsa.2020.0110522 fatcat:vaswykcav5conf6c5via4dqzbi

Survey On Sentiment Analysis Of Stock Market

Nausheen S, Anil Kumar M, Amrutha K K
2017 Zenodo  
Sentiment analysis has seen a tremendous growth in the past few years. Sentiment analysis or opinion mining is a process of collecting users' opinion from user generated content.  ...  The main goal of this paper is to study the various methods used for sentiment analysis. Further we explain the overview of various related papers and their performances.  ...  We would further like to thank our head of the department and all the faculty members for their help and support in understanding and completing the paper.  ... 
doi:10.5281/zenodo.572298 fatcat:fs5sclxfavgylhjnybmbgym7b4

SURVEY ON SENTIMENT ANALYSIS OF STOCK MARKET

Nausheen S, Anil Kumar, Amrutha K K
2017 International journal of research - granthaalayah  
Sentiment analysis has seen a tremendous growth in the past few years. Sentiment analysis or opinion mining is a process of collecting users' opinion from user generated content.  ...  The main goal of this paper is to study the various methods used for sentiment analysis. Further we explain the overview of various related papers and their performances.  ...  We would further like to thank our head of the department and all the faculty members for their help and support in understanding and completing the paper.  ... 
doi:10.29121/granthaalayah.v5.i4racsit.2017.3354 fatcat:yahfr3xl2zh3jkeacw2bwbpmye

A Review on Pushing the Limits of Baseline Recommendation Systems with the integration of Opinion Mining Information Retrieval Techniques [article]

Dinuka Ravijaya Piyadigama, Guhanathan Poravi
2022 arXiv   pre-print
This has been achieved by taking a hybrid approach when building models and architectures for Recommendation Systems.  ...  This paper is a review of the novel models & architectures of hybrid Recommendation Systems.  ...  requires data-mining & opinion mining techniques were Sentiment Analysis, Named Entity-Recognition, Tokenization, Stemming & Lammetization; the latter 4 techniques being required for pre-processing scraped  ... 
arXiv:2205.01802v1 fatcat:tqwuaethzzhi7bxawnxttwt4jm

Performance Modeling of Classification Techniques on Movie Sentiments

2019 International Journal of Engineering and Advanced Technology  
This paper analyzes the performance of classifiers for the prediction of sentiment class i.e., positive and negative by using artificial neural network, k-nearest neighbor and hybrid approach.  ...  Large opinions of the people are found over movie comments that are honest, informative, and casual as compared to the formal type of data-survey modeling using magazines or reports.  ...  The approach i.e. proposed is mainly used for opinion/sentiment mining through NLP which helps in extracting the opinions from the content associated with an item. Mensikova, et al.  ... 
doi:10.35940/ijeat.b2805.129219 fatcat:i35ntlgaxvc23dtqksudk65aom

Hybrid approach for sentiment analysis of Arabic tweets based on deep learning model and features weighting

Altyeb Altaher
2017 International Journal of Advanced and Applied Sciences  
The increasing adoption of social media networks as a platform for sharing opinions on different aspects emerged the sentiment analysis and opinion mining as an active research area.  ...  This paper proposes a hybrid approach for sentiment analysis of Arabic tweets based on two stages.  ...  The contributions of this paper are as follows: • Proposing an effective hybrid approach for sentiment analysis in Arabic tweets based on the deep learning model with features weighting. • Finding the  ... 
doi:10.21833/ijaas.2017.08.007 fatcat:ko2t5ywdcrc2hgpjow7gavlywi

A Survey on Sentimental Analysis Approaches using Machine Learning Algorithms

Anith Ashok, Dr. Sandeep Monga
2022 International Journal for Research in Applied Science and Engineering Technology  
Keywords: Time series forecasting, Sentiment Analysis, Hybrid Models  ...  In this work, a survey has been conducted on various work done in the past on sentiment analysis which includes opinion mining methods, machine learning based approaches and hybrid approaches which combines  ...  Opinion Mining Methods Sentiment mining is also referred to as opinion mining.  ... 
doi:10.22214/ijraset.2022.42005 fatcat:ss2f2lpznzcktakldpbete3evu
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