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Fine-grained Sentiment Classification using BERT

2019-10-04 09:20:48
Manish Munikar, Sushil Shakya, Aakash Shrestha
arXiv_CL
               
Abstract

Sentiment classification is an important process in understanding people's perception towards a product, service, or topic. Many natural language processing models have been proposed to solve the sentiment classification problem. However, most of them have focused on binary sentiment classification. In this paper, we use a promising deep learning model called BERT to solve the fine-grained sentiment classification task. Experiments show that our model outperforms other popular models for this task without sophisticated architecture. We also demonstrate the effectiveness of transfer learning in natural language processing in the process.

Abstract (translated)

URL

https://arxiv.org/abs/1910.03474

PDF

https://arxiv.org/pdf/1910.03474.pdf

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