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funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts.

, , , , and . SemEval@ACL, page 741-746. Association for Computational Linguistics, (2017)

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TweetSenti: Target-dependent Tweet Sentiment Analysis., , and . WWW, page 3569-3573. ACM, (2019)Sexual Harassment Story Classification and Key Information Identification., , , , and . CIKM, page 2385-2388. ACM, (2019)Information Mining: Integrating Data Mining and Text Mining for Business Intelligence., and . AMCIS, page 182. Association for Information Systems, (2006)funSentiment at SemEval-2017 Task 4: Topic-Based Message Sentiment Classification by Exploiting Word Embeddings, Text Features and Target Contexts., , , , and . SemEval@ACL, page 741-746. Association for Computational Linguistics, (2017)Table classification using both structure and content information: A case study of financial documents., , and . IEEE BigData, page 1778-1783. IEEE Computer Society, (2016)Reuters tracer: Toward automated news production using large scale social media data., , , , , and . IEEE BigData, page 1483-1493. IEEE Computer Society, (2017)Improving Concept Hierarchy Development for Web Returned Documents Using Automatic Classification., , , and . International Conference on Internet Computing, page 99-105. CSREA Press, (2005)"Breaking" Disasters: Predicting and Characterizing the Global News Value of Natural and Man-made Disasters., , , and . CoRR, (2017)R-Flow: An Extensible XML Based Multimodal Dialog System Architecture., , , and . MMSP, page 86-89. IEEE, (2007)A Unified Model for Financial Event Classification, Detection and Summarization., and . IJCAI, page 4668-4674. ijcai.org, (2020)Special Track on AI in FinTech.