基于语言的增强越南语情感分析

2021 RIVF International Conference on Computing and Communication Technologies (RIVF) Pub Date : 2021-08-19 DOI:10.1109/RIVF51545.2021.9642123

C. Manh, Hieu Pham Minh, Hoang Do Van, Khanh Nguyen Quoc, Khanh Nguyen, Manh Tran Van, Anh Phan

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引用次数: 0

摘要

识别顾客对产品、服务和品牌的看法，给电子商务的发展带来很多好处。捕捉顾客的态度有助于零售商调整商业决策。客户可以通过咨询社会经验来选择合适的产品和良好的服务。然而，诸如首字母缩略词、俚语、错误语法等自由风格的客户反馈文本正在挑战任何机器学习模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Linguistic-based Augmentation for Enhancing Vietnamese Sentiment Analysis

Identify customer’s opinions about products, services, and brands bring many benefits to e-commerce development. Capturing customer attitudes helps retailers adjust business decisions. Customers can select the suitable product and the good service by consulting social experiences. However, free-style texts of customer feedback like acronyms, slang words, incorrect grammar, and so on are challenging any machine learning model.

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来源期刊

2021 RIVF International Conference on Computing and Communication Technologies (RIVF)

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