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Deep learning for sentiment analysis: successful approaches and future challenges.

, , and . WIREs Data Mining Knowl. Discov., 5 (6): 292-303 (2015)

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Sentiment Embeddings with Applications to Sentiment Analysis., , , , , and . IEEE Trans. Knowl. Data Eng., 28 (2): 496-509 (2016)Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning., , , , , , and . CoRR, (2019)Deep learning for sentiment analysis: successful approaches and future challenges., , and . WIREs Data Mining Knowl. Discov., 5 (6): 292-303 (2015)GraphCodeBERT: Pre-training Code Representations with Data Flow., , , , , , , , , and 8 other author(s). CoRR, (2020)Effidit: Your AI Writing Assistant., , , , , , , , , and 3 other author(s). CoRR, (2022)One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code., , , , , , , , , and . CoRR, (2022)Text Generation From Tables., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 27 (2): 311-320 (2019)SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach., , , and . CoRR, (2022)Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning., , , , , , and . AAAI, page 8960-8967. AAAI Press, (2020)Aspect Level Sentiment Classification with Deep Memory Network., , and . EMNLP, page 214-224. The Association for Computational Linguistics, (2016)