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Word Embeddings and Convolutional Neural Network for Arabic Sentiment Classification

Abdelghani Dahou, Shengwu Xiong, Junwei Zhou, Mohamed Houcine Haddoud, Pengfei Duan
2016 International Conference on Computational Linguistics  
In this paper, a scheme of Arabic sentiment classification, which evaluates and detects the sentiment polarity from Arabic reviews and Arabic social media, is studied.  ...  Moreover, a convolutional neural network trained on top of pretrained Arabic word embeddings is used for sentiment classification to evaluate the quality of these word embeddings.  ...  ., 2014) presented an SVM-based system for subjectivity and sentiment analysis for Arabic social media named SAMAR.  ... 
dblp:conf/coling/DahouXZHD16 fatcat:ybf37cufknettk7ncgfjsaxnau

Research on Sentiment Classification of Online Travel Review Text

Wen Chen, Zhiyun Xu, Xiaoyao Zheng, Qingying Yu, Yonglong Luo
2020 Applied Sciences  
Sentiment analysis is a process that can extract tourists' sentiments regarding travel destinations from online travel review texts.  ...  of machine learning-based sentiment classification methods in order to build an effective sentiment classification model for online travel review text.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app10155275 fatcat:vfapfzyl6ncu5a7fnf7rdurl6m

A Comprehensive Review of Visual-Textual Sentiment Analysis from Social Media Networks [article]

Israa Khalaf Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh, Mohammad Asadpour
2022 arXiv   pre-print
The analysis of these feelings revealed various applications, including brand evaluations, YouTube film reviews and healthcare applications.  ...  To serve as a resource for academics in this rapidly growing field, we introduce a comprehensive overview of textual and visual SA, including data pre-processing, feature extraction techniques, sentiment  ...  Object-based Visual Sentiment Concept Analysis Despite the fact that SentiBank is beneficial for large-scale VSO, it faces two difficulties.  ... 
arXiv:2207.02160v1 fatcat:l3vxpjnqkrfthkvhdldwonpoe4

Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias [article]

Anoop K., Manjary P. Gangan, Deepak P., Lajish V. L
2022 arXiv   pre-print
The remarkable progress in Natural Language Processing (NLP) brought about by deep learning, particularly with the recent advent of large pre-trained neural language models, is brought into scrutiny as  ...  in the context of affect (emotion) i.e., Affective Bias, in large pre-trained language models.  ...  in transformer based contextual pre-trained language models in NLP along with their identification, quantification and mitigation strategies. • We, for the first time, to the best of our knowledge, investigate  ... 
arXiv:2204.10365v1 fatcat:6stysk6km5aqflgx3hw3qvw5mq

Data intensive review mining for sentiment classification across heterogeneous domains

Federica Bisio, Paolo Gastaldo, Chiara Peretti, Rodolfo Zunino, Erik Cambria
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
A suitably designed semantic-based metric is the cognitive core that measures the distance between two user reviews, according to the sentiment they communicate.  ...  To attain an objective measurement of the actual accuracy of the sentiment classification method, a campaign of tests involved a pair of complex, real-world scoring domains; the goal was to compare the  ...  when applied to large scale problems.  ... 
doi:10.1145/2492517.2500280 dblp:conf/asunam/BisioGPZC13 fatcat:qbcm2djmkva2bhg3j4hhslzwwm

ArCAR: A Novel Deep Learning Computer-Aided Recognition for Character-Level Arabic Text Representation and Recognition

Abdullah Y. Muaad, Hanumanthappa Jayappa, Mugahed A. Al-antari, Sungyoung Lee
2021 Algorithms  
Meanwhile, the ArCAR performs well for Arabic sentiment analysis, achieving the best performance using the hotel Arabic reviews dataset (HARD) balance dataset in terms of overall accuracy and F1-score  ...  The ArCAR system is validated over 5-fold cross-validation tests for two applications: Arabic text document classification and Arabic sentiment analysis.  ...  Conflicts of Interest: There are no conflict of interest associated with publishing this paper.  ... 
doi:10.3390/a14070216 fatcat:ae5kraaz4nacxlj2pt34cbbtii

Special issue on intelligent decision support systems based on soft computing and their applications in real-world problems

Enrique Herrera-Viedma, Francisco Chiclana, Yucheng Dong, Francisco Javier Cabrerizo
2018 Applied Soft Computing  
Intelligent decision support systems based on soft computing are of  ...  In recent years, intelligent decision support systems based on soft computing have attracted the attention of both, academic researchers and practitioners in a wide range of disparate areas from computing  ...  The second paper entitled Analyzing the Performance of Classical Consensus Models in Large Scale Group Decision Making: A comparative Study reviews different classical consensus reaching processes applied  ... 
doi:10.1016/j.asoc.2018.04.054 fatcat:ma5kdazxvvgrfc2snma6p4lwbu

Searching for the Most Negative Opinions [chapter]

Sattam Almatarneh, Pablo Gamallo
2017 Communications in Computer and Information Science  
In this article, we will use diversified linguistic features and supervised machine learning algorithms so as to examine their effectiveness in the process of searching for the most negative opinions.  ...  However, to the best of our knowledge, no sentiment analysis approach has considered the automatic identification and extraction of the most negative opinions, in spite of their significant impact in many  ...  Our collection has 5,006 reviews and our method handles a large number of features for each example. To do classification, we need two samples of documents: training and testing.  ... 
doi:10.1007/978-3-319-69548-8_2 fatcat:4w4oo5hk2ferrmk3ysmdgh6kle

A Review on Text-Based Emotion Detection – Techniques, Applications, Datasets, and Future Directions [article]

Sheetal Kusal, Shruti Patil, Jyoti Choudrie, Ketan Kotecha, Deepali Vora, Ilias Pappas
2022 arXiv   pre-print
It also reviews the different applications of TBED across various research domains and highlights its use.  ...  The field of text-based emotion detection (TBED) is advancing to provide automated solutions to various applications, such as businesses, and finances, to name a few.  ...  In a tertiary analysis, (Ligthart et al. 2021) explored at sentiment analysis. The authors gave a thorough overview of the various approaches to sentiment analysis.  ... 
arXiv:2205.03235v1 fatcat:b3m25fg6xfc3leeym22eqysq5a

Survey and Analysis of Recent Sentiment Analysis Schemes Relating to Social Media

Osamah Ali Mohammed Ghaleb, Anna Saro Vijendran
2016 Indian Journal of Science and Technology  
Thus this paper work provides a detailed analysis of the recent sentiment analysis schemes and throws light on new avenues for future research work in this domain.  ...  Methods/ Statistical Analysis: Extraction of the information from the web, classification and prediction of the sentiment polarity is a complex process which performed through various approaches like Part-Of-Speech  ...  Data acquisition and pre-processing, part of speech tagging and SentiMI based sentiment classification were performed to improve the accuracy of sentiment analysis.  ... 
doi:10.17485/ijst/2016/v9i41/97767 fatcat:447w5xhaunaavfxgbitggsjhqi

AB-LaBSE: Uyghur Sentiment Analysis via the Pre-Training Model with BiLSTM

Yijie Pei, Siqi Chen, Zunwang Ke, Wushour Silamu, Qinglang Guo
2022 Applied Sciences  
We close with an overview of the resources for sentiment analysis tasks and some of the open research questions.  ...  Finally, the validity of the model is verified via two categories datasets for sentiment analysis and five categories datasets for emotion analysis.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app12031182 fatcat:uqqj7bs52fhrpinkv7elssszdq

Comparative Study on Machine Learning Algorithms for Sentiment Classification

Mohammad Mohaiminul, Naznin Sultana
2018 International Journal of Computer Applications  
This paper investigates the different ways of sentiment analysis from customers' review using machine learning algorithms.  ...  With the advent of social networks, forums and blogs, these reviews emerged as an important factor for the customers' decision for the purchase or choice of any item.  ...  The results of our investigation can be used in a variety of large scale textual data processing systems for selecting the model structure and the optimal algorithm based on the nature of the dataset.  ... 
doi:10.5120/ijca2018917961 fatcat:cgpcfl6gczgvllxnh7au2hvuzy

Deep learning for affective computing: Text-based emotion recognition in decision support

Bernhard Kratzwald, Suzana Ilić, Mathias Kraus, Stefan Feuerriegel, Helmut Prendinger
2018 Decision Support Systems  
In addition, we propose sent2affect, a tailored form of transfer learning for affective computing: here the network is pre-trained for a different task (i.e. sentiment analysis), while the output layer  ...  to bidirectional processing, dropout layers as a means of regularization, and weighted loss functions.  ...  Yutaka Matsuo, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.  ... 
doi:10.1016/j.dss.2018.09.002 fatcat:zqwj42hntng55fk4vli4xps26m

Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach

Xavier Glorot, Antoine Bordes, Yoshua Bengio
2011 International Conference on Machine Learning  
Hence, this paper studies the problem of domain adaptation for sentiment classifiers, hereby a system is trained on labeled reviews from one source domain but is meant to be deployed on another.  ...  Reviews can span so many different domains that it is difficult to gather annotated training data for all of them.  ...  Indeed, reviews deal with various kinds of products or services for which vocabularies are different.  ... 
dblp:conf/icml/GlorotBB11 fatcat:5lenl2ff4ndnvi335jvrxrafri

Anomaly Detection on Natural Language Processing to Improve Predictions on Tourist Preferences

Jorge Meira, João Carneiro, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, Paulo Novais, Goreti Marreiros
2022 Electronics  
We used Natural Language Processing strategies to predict whether a review is positive or negative and the rating assigned by users on a scale of 1 to 5.  ...  In this work, we sought to facilitate the information acquisition process by studying strategies to automatically predict the tourists' preferences (ratings) in relation to points of interest based on  ...  such as text wrangling and pre-processing, named entity recognition and sentiment analysis [9, 10] .  ... 
doi:10.3390/electronics11050779 fatcat:grh62p6hrjgstjbchykjhbi65e
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