TAILIEUCHUNG - VLSP shared task: Sentiment analysis

Sentiment analysis is a Natural Language Processing (NLP) task of identifying or extracting the sentiment content of a text unit. This task has become an active research topic since the early 2000s. This paper describes the built datasets as well as the evaluation results of the systems participating to these campaigns. | Journal of Computer Science and Cybernetics 2018 295-310 DOI 1813-9663 34 4 13160 VLSP SHARED TASK SENTIMENT ANALYSIS NGUYEN THI MINH HUYEN1 NGUYEN VIET HUNG1 NGO THE QUYEN1 VU XUAN LUONG2 TRAN MAI VU3 NGO XUAN BACH4 LE ANH CUONG5 1VNU University of Science 2 Vietlex 3VNU University of Engineering and Technology 4Post and Telecommunication Institute of Technology 5 Ton Duc Thang University huyenntm@ 0 Crossref Similarity Check Powered w ITheritlMte Abstract. Sentiment analysis is a Natural Language Processing NLP task of identifying or extracting the sentiment content of a text unit. This task has become an active research topic since the early 2000s. During the two last editions of the VLSP workshop series the shared task on Sentiment Analysis SA for Vietnamese has been organized in order to provide an objective evaluation measurement about the performance quality of sentiment analysis tools and encourage the development of Vietnamese sentiment analysis systems as well as to provide benchmark datasets for this task. The first campaign in 2016 only focused on the sentiment polarity classification with a dataset containing reviews of electronic products. The second campaign in 2018 addressed the problem of Aspect Based Sentiment Analysis ABSA for Vietnamese by providing two datasets containing reviews in restaurant and hotel domains. These data are accessible for research purpose via the VLSP website resources. This paper describes the built datasets as well as the evaluation results of the systems participating to these campaigns. Keywords. Aspect based sentiment analysis Evaluation opinion mining Sentiment analysis Shared task Vietnamese VLSP workshop. 1. INTRODUCTION With the development of technology and the Internet different types of social media such as social networks and forums have allowed people to not only share information but also to express their opinions and attitudes on products services and other social .

• Tự động hoá
• Aspect based sentiment analysis
• Opinion mining
• Sentiment analysis
• Shared task
• VLSP workshop
• Natural language processing
• Text analysis
• Vietnamese Language and Speech Processing
• Online crisis detection
• Burst detection
• Aspect oriented sentiment ontology
• Online social media
• CoNLL format
• Named entity
• Named entity recognition