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    <abstract>The SemEval 2023 Task 9 Multilingual Tweet Intimacy Analysis, is a shared task for analysing the intimacy in the tweets posted on Twitter. The dataset was provided by Pei and Jurgens, who are part of the task organisers, for this task consists of tweets in various languages, such as Chinese, English, French, Italian, Portuguese, and Spanish. The testing dataset also had unseen languages such as Hindi, Arabic, Dutch and Korean. The tweets may or may not be related to intimacy. The task of our team was to score the intimacy in tweets and place it in the range of 05 based on the level of intimacy in the tweet using the dataset provided which consisted of tweets along with its scores. The intimacy score is used to indicate whether a tweet is intimate or not. Our team participated in the task and proposed the ROBERTa model to analyse the intimacy of the tweets.</abstract>
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%0 Conference Proceedings
%T CKingCoder at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis
%A B, Harish
%A D, Naveen
%A Balasubramanian, Prem
%A S, Aarthi
%Y Ojha, Atul Kr.
%Y Doğruöz, A. Seza
%Y Da San Martino, Giovanni
%Y Tayyar Madabushi, Harish
%Y Kumar, Ritesh
%Y Sartori, Elisa
%S Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F b-etal-2023-ckingcoder
%X The SemEval 2023 Task 9 Multilingual Tweet Intimacy Analysis, is a shared task for analysing the intimacy in the tweets posted on Twitter. The dataset was provided by Pei and Jurgens, who are part of the task organisers, for this task consists of tweets in various languages, such as Chinese, English, French, Italian, Portuguese, and Spanish. The testing dataset also had unseen languages such as Hindi, Arabic, Dutch and Korean. The tweets may or may not be related to intimacy. The task of our team was to score the intimacy in tweets and place it in the range of 05 based on the level of intimacy in the tweet using the dataset provided which consisted of tweets along with its scores. The intimacy score is used to indicate whether a tweet is intimate or not. Our team participated in the task and proposed the ROBERTa model to analyse the intimacy of the tweets.
%R 10.18653/v1/2023.semeval-1.276
%U https://aclanthology.org/2023.semeval-1.276
%U https://doi.org/10.18653/v1/2023.semeval-1.276
%P 2009-2013

Markdown (Informal)

[CKingCoder at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis](https://aclanthology.org/2023.semeval-1.276) (B et al., SemEval 2023)

• CKingCoder at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis (B et al., SemEval 2023)

ACL

• Harish B, Naveen D, Prem Balasubramanian, and Aarthi S. 2023. CKingCoder at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 2009–2013, Toronto, Canada. Association for Computational Linguistics.