Sentiment Analysis of Thai Financial News

ICSEB '18 Pub Date : 2018-12-18 DOI:10.1145/3301761.3301773
V. Esichaikul, Chawisa Phumdontree
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引用次数: 5

Abstract

Due to the big data and FinTech influencers, the novel SentiFine framework was developed to facilitate the financial analysts or specialists who need to understand the financial and economic circumstances from the daily news. The objective of this framework is to analyze the sentiment of Thai financial daily news by integrating the fine-grained sentiment analysis technique with the deep neural network. Based on the proposed SentiFine framework, the prototype of the SentiFine web-based system was developed. With the main feature "View Daily News", the users can view the daily Thai financial news detail, the date and time of the news, the source of news, and its sentiment which is categorized into three tones (positive, neutral, and negative).
泰国财经新闻的情绪分析
由于大数据和金融科技的影响,开发了新颖的SentiFine框架,以方便需要从日常新闻中了解金融和经济环境的金融分析师或专家。该框架的目标是通过将细粒度情感分析技术与深度神经网络相结合,对泰国财经每日新闻的情感进行分析。基于提出的SentiFine框架,开发了基于web的SentiFine系统原型。通过“查看每日新闻”的主要功能,用户可以查看每日泰国财经新闻的详细信息,新闻的日期和时间,新闻来源,以及其情绪,分为积极,中性和消极三种色调。
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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