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Tweet Sentiment Analysis by Incorporating Sentiment-Specific Word Embedding and Weighted Text Features.

, , , , and . WI, page 568-571. IEEE Computer Society, (2016)

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Data Sets: Word Embeddings Learned from Tweets and General Data., , , and . CoRR, (2017)AIR-JPMC@SMM4H'22: Identifying Self-Reported Spanish COVID-19 Symptom Tweets Through Multiple-Model Ensembling., , , , , , and . SMM4H@COLING, page 160-162. Association for Computational Linguistics, (2022)AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models., , , and . SMM4H@COLING, page 135-137. Association for Computational Linguistics, (2022)Large Scale Financial Time Series Forecasting with Multi-faceted Model., , , , , and . ICAIF, page 472-480. ACM, (2023)A Knowledge Adoption Model Based Framework for Finding Helpful User-Generated Contents in Online Communities., , and . ICIS, Association for Information Systems, (2011)Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? An Examination on Several Typical Tasks., , , , and . CoRR, (2023)Translating between SQL Dialects for Cloud Migration., , and . CoRR, (2024)Reuters tracer: Toward automated news production using large scale social media data., , , , , and . IEEE BigData, page 1483-1493. IEEE Computer Society, (2017)Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop., , , , , , , , , and . SIGIR, page 3464-3467. ACM, (2023)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)