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Predicting Sector Index Movement with Microblogging Public Mood Time Series on Social Issues.

, , , , and . PACLIC, ACL, (2015)

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Taxonomy and the Production of Semantic Phenotypes., , , , , , , and . Application of Semantic Technology in Biodiversity Science, volume 33 of Studies on the Semantic Web, IOS Press, (2018)Expert-Guided Contrastive Opinion Summarization for Controversial Issues., , , and . WWW (Companion Volume), page 1105-1110. ACM, (2015)Co-designing Scientific Software: Hackathons for Participatory Interface Design., , , and . CHI Extended Abstracts, page 3219-3226. ACM, (2016)Fault Tolerance Method for Memory Based on Inner Product Similarity and Experimental Study on Heavy Ion Irradiation., , , , , and . J. Circuits Syst. Comput., 31 (18): 2240006:1-2240006:21 (December 2022)Evaluating automated entity extraction with respect to drug and non-drug treatment strategies., , and . J. Biomed. Informatics, (2019)Predicting Sector Index Movement with Microblogging Public Mood Time Series on Social Issues., , , , and . PACLIC, ACL, (2015)Enthusiasm and support: alternative sentiment classification for social movements on social media., , , , , and . WebSci, page 261-262. ACM, (2014)Extracting Knowledge Claims for Automatic Evidence Synthesis Using Semantic Technology.. EKAW (Satellite Events), volume 10180 of Lecture Notes in Computer Science, page 238-244. Springer, (2016)Information behaviors at the edge of reason: The role of uncertainty, science, and culture on environmental policy., and . ASIST, volume 51 of Proc. Assoc. Inf. Sci. Technol., page 1-5. Wiley, (2014)