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. |
| Approach: | They leverage social media platforms such as twitter for developing corpus across multiple languages . they use tweets to collect data for sentiment analysis and emoji prediction . |
| Outcome: | The proposed method is applicable for resource-scarce languages provided speakers of that particular language are active users on social media platforms. |
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