CKingCoder at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis
CKingCoder at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis
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DOI：
10.18653/v1/2023.semeval-1.276
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Harish B-;Naveen D;Premkumar Balasubramanian;A. S.
中科院分区：
文献类型：
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作者：
Harish B-;Naveen D;Premkumar Balasubramanian;A. S.
SemEval 2023任务9多语言推文亲密度分析是一项共享任务，用于分析推特上发布的推文中的亲密度。数据集是由贝和尤尔根斯提供的，他们是任务组织者的一部分，因为这项任务包括各种语言的推文，如中文、英语、法语、意大利语、葡萄牙语和西班牙语。测试数据集还包含印地语、阿拉伯语、荷兰语和韩语等看不见的语言。这些推文可能与亲密有关，也可能与亲密无关。我们团队的任务是使用提供的数据集对推文中的亲密程度进行评分，并根据推文中的亲密程度将其置于05的范围内。数据集包括推文及其得分。亲密程度分数用来指示一条推文是否亲密。我们的团队参与了这项任务，并提出了罗伯塔模型来分析推文的亲密度。
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.