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Vlsp shared task

Vlsp shared task : sentiment analysis

 Nguyễn, Thị Minh Huyền
 2018.
 tr. 295-310 Tiếng Việt
Aspect based sentimentEvaluationAnalysisSentiment analysisShared taskOpinion miningĐánh giáHội thảo+ 3 từ khóa
Tác giả CN Nguyễn, Thị Minh Huyền
Nhan đề Vlsp shared task : sentiment analysis / Nguyễn Thị Minh Huyền...
Thông tin xuất bản 2018.
Mô tả vật lý tr. 295-310
Tóm tắt 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 classication, 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 vlsp.org.vn/resources. This paper describes the built datasets as well as the evaluation results of the systems participating to these campaigns.
Thuật ngữ chủ đề Aspect based sentiment
Từ khóa tự do Evaluation
Từ khóa tự do Analysis
Từ khóa tự do Sentiment analysis
Từ khóa tự do Shared task
Từ khóa tự do Opinion mining
Từ khóa tự do Đánh giá
Từ khóa tự do Hội thảo
Từ khóa tự do Phân tích
Từ khóa tự do Khai thác ý kiến
Từ khóa tự do Tiếng Việt
Tác giả(bs) CN Nguyễn, Việt Hùng
Tác giả(bs) CN Vũ, Xuân Lương
Tác giả(bs) CN Ngô, Thế Quyền
Nguồn trích Tạp chí Tin học và Điều khiển học- Vol.34, No 4
MARC
Hiển thị đầy đủ trường & trường con
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300[1 0] |a tr. 295-310
520[ ] |a 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 classication, 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 vlsp.org.vn/resources. This paper describes the built datasets as well as the evaluation results of the systems participating to these campaigns.
650[1 0] |a Aspect based sentiment
653[0 ] |a Evaluation
653[0 ] |a Analysis
653[0 ] |a Sentiment analysis
653[0 ] |a Shared task
653[0 ] |a Opinion mining
653[0 ] |a Đánh giá
653[0 ] |a Hội thảo
653[0 ] |a Phân tích
653[0 ] |a Khai thác ý kiến
653[0 ] |a Tiếng Việt
700[0 ] |a Nguyễn, Việt Hùng
700[0 ] |a Vũ, Xuân Lương
700[0 ] |a Ngô, Thế Quyền
773[0 ] |t Tạp chí Tin học và Điều khiển học |g Vol.34, No 4
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