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Comprehensive Study on Lexicon-based Ensemble Classification Sentiment Analysis

Łukasz Augustyniak, Piotr Szymański, Tomasz Kajdanowicz, Włodzimierz Tuligłowicz
2015 Entropy  
It is one of the most comprehensive comparisons of domain sentiment analysis in the literature.  ...  Afterwards, we use ensemble classification to improve the overall accuracy of the method.  ...  Pang and Lee [6] studied the problem of which text features give better results in sentiment analysis.  ... 
doi:10.3390/e18010004 fatcat:xnzcxeafbnhd5gcb4wvukkcxue

A ML and NLP based Framework for Sentiment Analysis on Bigdata

2020 International journal of recent technology and engineering  
Usage of probabilistic topic model is a novel approach in sentiment analysis. In this paper, we proposed a framework for comprehensive analysis of overall and aspect-based sentiments.  ...  Existing studies usually treated overall sentiment analysis and aspect-based sentiment analysis in isolation, and then introduce a variety of methods to analyse either overall sentiments or aspect-level  ...  This ensemble model is used for sentiment classification. The class labels are chosen based on the majority voting concept.  ... 
doi:10.35940/ijitee.d9062.029420 fatcat:nhyddtiqzradbpfhcgmiz5tg6m

Combination of Recursive and Recurrent Neural Networks for Aspect-Based Sentiment Analysis Using Inter-Aspect Relations

Cem Rifki Aydin, Tunga Gungor
2020 IEEE Access  
INDEX TERMS Aspect-based sentiment classification, ensemble neural network model, recurrent neural networks, recursive neural networks, sentiment analysis.  ...  Sentiment analysis studies in the literature mostly use either recurrent or recursive neural network models.  ...  Section 2 presents the existing works on aspect-based sentiment analysis, recurrent and recursive neural networks, and their ensemble forms used in this classification task.  ... 
doi:10.1109/access.2020.2990306 fatcat:4biow2zv4rcqvmpmrqa2rzi67a

Content-Specific Unigrams and Syntactic Phrases to Enhance Senti Word Net Based Sentiment Classification

Muhammad Latif, Usman Qamar, Abdul Wahab Muzaffar
2015 International Journal of Machine Learning and Computing  
Index Terms-Content specific features, lexicon based classification, sentiment classification, Senti word net.  ...  SentiWordNet based sentiment classifier uses sentiment features generated from 7% subjective terms available in the resource.  ...  Index Terms-Content specific features, lexicon based classification, sentiment classification, Senti word net.  ... 
doi:10.7763/ijmlc.2015.v5.525 fatcat:vbl3g5x35vbuncsj6qtsyqoehi

Arabic Sentiment Analysis: A Survey

Adel Assiri, Ahmed Emam, Hmood Aldossari
2015 International Journal of Advanced Computer Science and Applications  
This paper provides a comprehensive analysis of the important research works in the field of Arabic sentiment analysis.  ...  the different approaches used by the authors on the performance scores obtained.  ...  In the other hand some studies employed the lexicon-based approach using different techniques to generate sentiment lexicons that would contribute to the task of sentiment analysis.  ... 
doi:10.14569/ijacsa.2015.061211 fatcat:3scpsrgu5vcddcw3hnnfyo3f5m

A Sentiment Analysis Approach based on Arabic Social Media Platforms

La-sheng YU, Sadeq AL BAADANI
2018 DEStech Transactions on Engineering and Technology Research  
To this regard we adopted a comprehensive approach utilizing a broad array of Arabic social media platforms to establish more generalized sentiment models using random subspace ensembles of MLP base learners  ...  There is also a lack of comprehensive framework for Arabic social media sentiment analysis as existing works often focus on particular platforms (like twitter and Facebook).  ...  Arabic social media sentiment analysis (3) Introduction of a new sentiment classification scale for sentiment analysis (4) Designing an integrated sentiment analysis framework using lexicon based techniques  ... 
doi:10.12783/dtetr/icmeit2018/23467 fatcat:puke7xrzc5gz7g2gnsttyqx7ci

Sentiment Analysis Tasks and Approaches

Enas A. H. Khalil, Enas M.F. El Houby, Hoda K. Mohamed
2021 Zenodo  
This systematic review gives a clear image of recent work in sentiment analysis SA; it studies the papers published in the SA field between 2016 and 2020 using the science direct and Springer databases  ...  Keywords Sentiment analysis; opinion mining; Natural Language Processing; Machine Learning; Deep Learning; word embedding.  ...  Developing extensive and comprehensive Arabic lexicons is critical for the advancement of the discipline, articles [15] , [16] , and [17] focused on building Arabic Lexicons.  ... 
doi:10.5281/zenodo.5668727 fatcat:xzke3dn7hnabjhkxdepb6sevdi

Big Data Analytics using Supervised Learning: A Comprehensive Review of Recent Techniques

Wedjdane Nahili
2020 International Journal for Research in Applied Science and Engineering Technology  
With the availability of text data in various forms on social media platforms, text mining, and sentiment analysis has received huge attention.  ...  This paper provides an overview of the most recent methods used in text mining and sentiment analysis along with their detailed description and a discussion of obtained results.  ...  classification using base classifiers: in which different base classifiers were implemented for sentiment analysis and finally (4) Sentiment classification using the proposed ensemble classifier.  ... 
doi:10.22214/ijraset.2020.1056 fatcat:hxl3jiphajh3jofmnou4sq5fzi

Classification of Arabic Tweets: A Review

Meshrif Alruily
2021 Electronics  
Machine learning algorithms and lexicon-based classifications are considered essential tools for text processing.  ...  Arabic Sentiment Analysis (ASA) and Arabic Text Classification (ATC) for these social media tools are hot topics, aiming to obtain valuable Arabic text insights.  ...  [113] proposed an ensemble technique for sentiment analysis in the Arabic language. This study focuses on the ensemble voting technique for Arabic text classification.  ... 
doi:10.3390/electronics10101143 fatcat:ipttevq6xbfqxksbmr3wof5s6q

Sentiment Analysis for Malay Language: Systematic Literature Review

Dini Handayani, Normi Sham Awang Abu Bakar, Hamwira Yaacob, Mustafa Ali Abuzaraida
2018 2018 International Conference on Information and Communication Technology for the Muslim World (ICT4M)  
Recent research and developments in Sentiment Analysis (SA) have simplified sentiment detection and classification from textual content.  ...  To understand trends and to support practitioners and researchers with comprehension information with regard to SA for Malay language, this study exhibit to review published articles on SA for Malay language  ...  feed Malay sentiment analysis based on combined classification approaches and Senti-lexicon algorithm Al-Saffar, A.  ... 
doi:10.1109/ict4m.2018.00063 fatcat:4xcdo7lpyjavbdozril4p4fcui

A Comprehensive survey of Machine Learning Algorithms for Sentiment Analysis of Political Tweets

.Kavitha DNSB, Prof. Prasad P.V.G.D Reddy, Prof.K. Venkata Rao
2019 International Journal of Research in Advent Technology  
of existing methods for sentiment analysis.Limitations of Sentiment Analysis on Twitter are also discussed in this paper.  ...  There is a need for processing the computations of sentiment analysis in documents.  ...  CONCLUSION We have studied the Machine learning sentiment classification algorithms.This study included single,ensemble classifiers.As there are huge number of features in a dataset which are redundant  ... 
doi:10.32622/ijrat.752019145 fatcat:byv3voaxhvedho3go33iroblei

Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification

Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Jian Su
2018 Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing  
Via extensive experiments, we show that our approach outperforms many other neural baselines on sentiment classification tasks on multiple benchmark datasets.  ...  This paper proposes a new neural architecture that exploits readily available sentiment lexicon resources.  ...  Introduction Across the rich history of sentiment analysis research (Kim and Hovy, 2004; Liu, 2012; Pang et al., 2008) , sentiment lexicons have been extensively used as features for sentiment classification  ... 
doi:10.18653/v1/d18-1381 dblp:conf/emnlp/TayLHS18 fatcat:wavbko6gyzc75njx3inxvu6jy4

Ensemble of Classifiers and Term Weighting Schemes for Sentiment Analysis in Turkish

Aytuğ Onan, İzmir Katip Çelebi Üniversitesi
2021 Scientific Research Communications  
We present a comprehensive analysis of Turkish sentiment analysis using nine supervised and unsupervised term weighting schemes in this paper.  ...  Sentiment analysis is a significant area of research in natural language processing because it aims to define the orientation of the sentiment contained in source materials.  ...  In another study, Griol et al. (2020) presented an ensemble classification scheme for sentiment analysis on Twitter messages, which incorporates ensemble of feature sets based on opinion lexicons, n-grams  ... 
doi:10.52460/src.2021.004 fatcat:7qwkfgb3ovgojkl2bocc3fjzrm

A Replication Study of the Top Performing Systems in SemEval Twitter Sentiment Analysis [chapter]

Efstratios Sygkounas, Giuseppe Rizzo, Raphaël Troncy
2016 Lecture Notes in Computer Science  
Learning from the studies being made on the systems, we also propose SentiME, an ensemble system composed of five state-of-the-art sentiment classifiers.  ...  We performed a thorough replicate study of the top performing systems in the yearly SemEval Twitter Sentiment Analysis task.  ...  They also used specific Twitter-based lexicon such as the NRC Hashtag Sentiment Lexicon [11] and the Sentiment140 Lexicon [12] .  ... 
doi:10.1007/978-3-319-46547-0_22 fatcat:zizymrjf65cqvi6w2ihfraszre

Intelligent Hybrid Feature Selection for Textual Sentiment Classification

Jawad Khan, Aftab Alam, Youngmoon Lee
2021 IEEE Access  
To address these concerns, we propose an Intelligent Hybrid Feature Selection for Sentiment Analysis (IHFSSA) based on ensemble learning methods.  ...  on the refined sentiment feature set.  ...  In this study, sentiment words in the review documents are matched against integrated wide coverage sentiment lexicons and then used for sentiment classification. C.  ... 
doi:10.1109/access.2021.3118982 fatcat:etece4olsrdjdojpewvpt53jbu
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