Fetching the paper…
Reading the bibliography…
This paper focuses on how to extract opinions over each Persian sentence-level text.
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
Jason Wei and Kai Zou. 2019 · 1901
Earlier work this paper cites.
Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014 · 1958
Earlier work this paper cites.
A probabilistic analysis of the rocchio algorithm with tfidf for text categorization
Thorsten Joachims. 1997 · 1997
Earlier work this paper cites.
Word representations: A simple and general method for semi-supervised learning
Joseph Turian, Lev-Arie Ratinov, and Yoshua Bengio. 2010 · 2010
Earlier work this paper cites.
Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011
Earlier work this paper cites.
Deep sparse rectifier neural networks
Xavier Glorot, Antoine Bordes, and Yoshua Bengio. 2011 · 2011
Earlier work this paper cites.
Sentiment analysis and opinion mining
Bing Liu. 2012 · 2012
Earlier work this paper cites.
Baselines and bigrams: Simple, good sentiment and topic classification
Sida Wang and Christopher D. Manning. 2012 · 2012
Earlier work this paper cites.
Deriving market intelligence from microblogs
Yung-Ming Li and Tsung-Ying Li. 2013 · 2013
Cited alongside, same era.
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
Cited alongside, same era.
Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
Cited alongside, same era.
FastText.zip: Compressing text classification models
Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hérve Jégou, and Tomas Mikolov. 2016 · 2016
Cited alongside, same era.
Fasttext.zip: Compressing text classification models
Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hérve Jégou, and Tomas Mikolov. 2016 · 2016
Cited alongside, same era.
Hoax detection system on indonesian news sites based on text classification using svm and sgd
Agung Prasetijo, R. Rizal Isnanto, Dania Eridani, Yosua Alvin Adi Soetrisno, Muhammad Arfan, and Aghus Sofwan. 2017 · 2017
Later among the works it cites.
Sentiment analysis using deep learning on persian texts
B. Roshanfekr, S. Khadivi, and M. Rahmati. 2017 · 2017
Later among the works it cites.
Data Noising as Smoothing in Neural Network Language Models
Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, and Andrew Y. Ng. 2017 · 2017
Later among the works it cites.
Exploiting Deep Learning for Persian Sentiment Analysis
Kia Dashtipour, Mandar Gogate, Ahsan Adeel, Cosimo Ieracitano, Hadi Larijani, and Amir Hussain. 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A study of sentiment analysis using deep learning techniques on thai twitter data
P. Vateekul and T. Koomsubha. 2016 · 2016
Cited alongside, same era.
Enriching word vectors with subword information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017
Cited alongside, same era.
Data Augmentation for Low-Resource Neural Machine Translation
Marzieh Fadaee, Arianna Bisazza, and Christof Monz. 2017 · 2017
Cited alongside, same era.
Pedram Hosseini, Ali Ahmadian Ramaki, Hassan Maleki, Mansoureh Anvari, and Seyed Abolghasem Mirroshandel. 2018 · 2018
Later among the works it cites.
Activation Functions: Comparison of trends in Practice and Research for Deep Learning
Chigozie Nwankpa, Winifred Ijomah, Anthony Gachagan, and Stephen Marshall. 2018 · 2018
Later among the works it cites.
Sentiment classification using convolutional neural networks
Hannah Kim and Young-Seob Jeong. 2019 · 2019
Later among the works it cites.
Nn-svg: Publication-ready neural network architecture schematics
Alexander LeNail. 2019 · 2019
Later among the works it cites.