| Challenge: | Existing sentiment analysis systems only use word unigrams and bigrams, but lexicons using sentiment lexica are effective. |
| Approach: | They describe an automatic Twitter sentiment lexicon creator and a lexico-based sentiment analysis system. |
| Outcome: | The proposed system outperforms a manually annotated system in a comparison experiment. |
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| Challenge: | a new paper aims to provide sentiment analysis tools for ancient languages . the current sentiment analysis resources only cover modern languages based on textual typologies . |
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Learning Sentiment Composition from Sentiment Lexicons (C18-1)
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Orith Toledo-Ronen, Roy Bar-Haim, Alon Halfon, Charles Jochim, Amir Menczel, Ranit Aharonov, Noam Slonim
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Learning and Evaluating Emotion Lexicons for 91 Languages (2020.acl-main)
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| Challenge: | Existing work that improves document-level sentiment analysis by encoding user and product information has been limited to considering only the text of the current review. |
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Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, Ibrahim Sa’id Ahmad, Idris Abdulmumin, Bello Shehu Bello, Monojit Choudhury, Chris Chinenye Emezue, Saheed Salahudeen Abdullahi, Anuoluwapo Aremu, Alípio Jorge, Pavel Brazdil
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Classifier-based Polarity Propagation in a WordNet (L18-1)
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| Challenge: | a wordnet-based sentiment lexicon can be built to express sentiment polarity in a way shared across domains. |
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Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction (C18-1)
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| Challenge: | a majority of research studies on twitter focus on English tweets, despite the fact that English dominates the mix of languages. |
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Design and Evaluation of SentiEcon: a fine-grained Economic/Financial Sentiment Lexicon from a Corpus of Business News (2020.lrec-1)
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| Challenge: | SentiEcon is a large, comprehensive, domain-specific computational lexicon designed for sentiment analysis applications. |
| Approach: | They describe a large, comprehensive, domain-specific computational lexicon designed for sentiment analysis applications. |
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Representation Mapping: A Novel Approach to Generate High-Quality Multi-Lingual Emotion Lexicons (L18-1)
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| Challenge: | Existing representational frameworks for emotion encoding are incompatible with semantic polarity, resulting in a large amount of incompatible emotion lexicons. |
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