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The Super Characters method addresses sentiment analysis problems by first converting the input text into images and then applying 2D-CNN models to classify the sentiment.
Xiang Zhang, Junbo Zhao, and Yann LeCun. 2015 · 2015
Earlier work this paper cites.
Xgboost: A scalable tree boosting system. In Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining . ACM, 785–794
Tianqi Chen and Carlos Guestrin. 2016 · 2016
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Bag of tricks for efficient text classification
Armand Joulin, Edouard Grave, Piotr Bojanowski, and Tomas Mikolov. 2016 · 2016
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SENet-154
Jie Hu. 2017 · 2017
Earlier work this paper cites.
Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?
Xiang Zhang and Yann LeCun. 2017 · 2017
Cited alongside, same era.
HappyDB: A Corpus of 100,000 Crowdsourced Happy Moments. In Proceedings of LREC 2018 . European Language Resources Association (ELRA), Miyazaki, Japan
Akari Asai, Sara Evensen, Behzad Golshan, Alon Halevy, Vivian Li, Andrei Lopatenko, Daniela Stepanov, Yoshihiko Suhara, Wang-Chiew Tan, and Yinzhan Xu. 2018 · 2018
Cited alongside, same era.
Speed Limit 55 MPH Sign - aluminum sign 8x12
Digi. 2018 · 2018
Cited alongside, same era.
6" EXTRUDED ALUMINUM STREET NAME SIGN
HallSigns. 2018 · 2018
Later among the works it cites.
Super Characters: A Conversion from Sentiment Classification to Image Classification
Baohua Sun, Lin Yang, Patrick Dong, Wenhan Zhang, Jason Dong, and Charles Young. 2018 · 2018
Later among the works it cites.
CL-AFF Shared TASK
Kokil Jaidka and Niyati Chhaya. 2018 · 2019
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