Papers with multilingual sentiment analysis

2 papers
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.
Generating a Gold Standard for a Swedish Sentiment Lexicon (L18-1)

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Challenge: Existing sentiment lexicons are compiled by (machine) translation from English resources, obscuring language-specific characteristics of sentiment-loaded vocabulary.
Approach: They propose a gold standard for sentiment annotation of Swedish terms using the SALDO lexicon and the Gigaword corpus.
Outcome: The proposed model is based on the free SALDO lexicon and the Gigaword corpus and is compared with existing models using human annotations.

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