Esichaikul, Vatcharaporn
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Challenges, trends & opportunities of technical & vocational education & training (Tvet)
2019, Disabato, Sabrina, Esichaikul, Vatcharaporn, Ilgü, Hüseyin
A framework to identify factors affecting the performance of third-party B2B e-marketplaces: A seller’s perspective
2018, Thitimajshima, Wiyada, Esichaikul, Vatcharaporn, Krairit, Donyaprueth
A collaborative system to improve knowledge sharing in scientific research project
2019, Julpisit, Attipa, Esichaikul, Vatcharaporn, Suna, Ali Onur
Requirement patterns analysis and design of online social media marketing for promoting eco-tourism in Thailand
2018, Tetiwat, Orasa, Esichaikul, Vatcharaporn, Esichaikul, Ranee, Unger, Herwig, Sodsee, Sunantha, Meesad, Phayung
Sentiment analysis of Thai financial news
2018, Esichaikul, Vatcharaporn, Phumdontree, Chawisa
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).