Filters








4,570 Hits in 5.6 sec

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  
Most of the study addressed methods including machine learning, lexicon-based approach, hybrid approach, and Kansei approach in mining the sentiment and emotion based on text.  ...  Therefore, this research suggests that the Kansei approach should be a complementary factor including in the development of a dictionary focusing on emotion in the national security domain.  ...  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

Perspectives of the performance metrics in lexicon and hybrid based approaches: a review

Meesala Shobha Rani, Sumathy S
2017 International Journal of Engineering & Technology  
Sentiment analysis, a sub-category of text mining is the major active research domain in current era due to greater quantity of opinionated text present in the Internet.  ...  This interdisciplinary field draws various techniques from data mining, machine learning, natural language processing, lexicon based and hybrid based approaches.  ...  This paper mainly focuses on a lexicon based approaches and hybrid based approaches on sentiment analysis in different domains.  ... 
doi:10.14419/ijet.v6i4.8295 fatcat:uyrcl7z2o5fzrkfngxt76rt7we

Sentiment Analysis and its Challenges

Chandni, Nav Chandra, Renuka Pahade, Sarishty Gupta
2015 International Journal of Engineering Research and  
The main goal of this paper is to provide a complete description of Sentiment Analysis or Opinion Mining technique and the challenges faced by it.  ...  Sentiment Analysis is a current ongoing field of research. Sentiment Analysis deals with the computational study of human thoughts or opinions, emotions and attitudes toward an object.  ...  There is a need to pay more attention in the research of domaindependent opinion mining or context-based opinion mining because domain specific OP gives good result than domain independent corpus.  ... 
doi:10.17577/ijertv4is030925 fatcat:xs7ljwzvgzhrlm5i7ncx2r3zo4

Sentiment classification using weakly supervised learning techniques

P. Bharathi, P C D. Kalaivaani
2014 International Conference on Information Communication and Embedded Systems (ICICES2014)  
We propose a hybrid model to detect sentiment and topics from text by using weakly supervised learning technique.  ...  Applying a sentiment classifiers trained on source domain does not produce good performance on target domain because words that occur in the train domain might not appear in the test domain.  ...  In this paper, we propose a hybrid model to overcome both problems. A Hybrid model for sentiment classification is based on LDA [19] .  ... 
doi:10.1109/icices.2014.7033924 fatcat:ilawcxgauffftnscoqehun7lxu

An Efficient Model for Mining Outlier Opinions

Neama Hassan, Laila A., Yehia K.
2020 International Journal of Advanced Computer Science and Applications  
Consequently, there is an urge to develop techniques to detect the outlier opinions and avoid their negative impacts on several application domains which rely on opinion mining.  ...  The proposed MOoM model, stands for Mining Outlier Opinion Model, offers for the first time the ability to mine outlier opinions from product's free-text reviews.  ...  This paper proposes a model to sentimentally analyze opinions and extract outlier opinions. The proposed model uses dictionary-based opinion mining approach.  ... 
doi:10.14569/ijacsa.2020.0110522 fatcat:vaswykcav5conf6c5via4dqzbi

Aspect Based Sentiment Analysis for E-Commerce Shopping Website

Neha V. Thakare
2021 International Journal for Research in Applied Science and Engineering Technology  
Opinion Mining is another name for sentiment analysis. a good vary of text data is getting generated within the form of suggestions, feedback, tweets, and comments.  ...  Sentiment Analysis can be used to identify positive, negative, and neutral information from the customer reviews. Researchers have developed a lot of techniques in Sentiment Analysis.  ...  We proposed a methodology for mining the product reviews based on weight age. t this time, an enormous capability of data is obtainable over social communities.  ... 
doi:10.22214/ijraset.2021.39117 fatcat:crn3jt6xm5cepjy7bl6fw6n3sy

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.  ...  Acknowledgement We would like to thank our guide, Amrutha K K for her immense support throughout the completion of 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.  ...  Acknowledgement We would like to thank our guide, Amrutha K K for her immense support throughout the completion of the paper.  ... 
doi:10.29121/granthaalayah.v5.i4racsit.2017.3354 fatcat:yahfr3xl2zh3jkeacw2bwbpmye

Approaches, Tools and Applications for Sentiment Analysis Implementation

Alessia D'Andrea, Fernando Ferri, Patrizia Grifoni, Tiziana Guzzo
2015 International Journal of Computer Applications  
(ii) lexicon based and (iii) hybrid  ...  used for sentiment analysis.  ...  It is based on the idea that an opinion consists of a sentiment (positive or negative) and a target (of opinion).  ... 
doi:10.5120/ijca2015905866 fatcat:4jbg6w5kfrcfbn2xrufhkiqn6q

BIG DATA & SENTIMENT ANALYSIS USING PYTHON

Akshansh Malik, Aman Mahal, Aman Kamboj, Abhishek Sharma
2020 International Research Journal of Computer Science  
The running module can perform data &sentiment analysis on data available for various fields and consumer opinions and suggestion on various products.  ...  Based on the results of data & sentimental analysis tips and information can be provided to the user.  ...  Hybrid approach The hybrid approach uses both, the lexicon and the learn-based approaches. It uses the lexicon-based approach for determining the sentiment scoring.  ... 
doi:10.26562/irjcs.2020.v0706.003 fatcat:tt44tsbbjnhq7bttszbr5xur2i

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  ...  To this end, this special issue focuses on the recent computational models, methods, and applications in the affective and sentimental computing.  ...  '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

Efficient Sentimental Analysis Using Ensemble Learning for Big Data

Anith Ashok, Dr. Sandeep Monga
2022 International Journal for Research in Applied Science and Engineering Technology  
Field of sentiment analysis have got a lot of evolving and attention lately, it's calling opinion mining also, it's interested to study people reviews, opinion, attitudes and evaluation.  ...  To make model suitable for real world and to handle big data, the model is deployed on Apache Spark.  ...  In this work, a hybrid model based on ensemble learning is proposed for sentiment prediction.  ... 
doi:10.22214/ijraset.2022.42245 fatcat:x2ifpo3g7jdjvdbtbskgu62vjm

An Enhanced Approach for Sentiment Analysis Using Association Rule Mining

Abhishek Sharma
2021 International Journal for Research in Applied Science and Engineering Technology  
Sentiment analysis is used to find the opinion i.e. negative or positive about a particular subject.  ...  Keyword: Sentiment Analysis, Opinion Mining, Support Vector Machine, Association Rule Mining, Machine Learning  ...  A. El Rahman et al. [9] proposed a model for sentiment analysis of the twitter data by combining the unsupervised and supervised models.  ... 
doi:10.22214/ijraset.2021.39404 fatcat:qlgkiviwlfcy3emv2sfhqozl2i

Panoptical View of the Sentiment Analysis Techniques

2019 International Journal of Engineering and Advanced Technology  
Sentiment analysis (SA) is a rapidly evolving field that aims at computationally categorizing the opinions of people about a particular product, movie, brand or anything that can be opined.  ...  Sentiment Analysis poses as a powerful tool for users to extract the needful information, as well as to aggregate the collective sentiments of the reviews.  ...  A hybrid approach combines machine learning and the lexicon-based approaches for sentiment analysis.  ... 
doi:10.35940/ijeat.a9537.109119 fatcat:c7kgxbjne5enflnizof2k4iet4

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  
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  ...  Keywords: Time series forecasting, Sentiment Analysis, Hybrid Models  ...  A. Opinion Mining Methods Sentiment mining is also referred to as opinion mining.  ... 
doi:10.22214/ijraset.2022.42005 fatcat:ss2f2lpznzcktakldpbete3evu
« Previous Showing results 1 — 15 out of 4,570 results