Analyzing Gender Polarity in Short Social Media Texts with BERT: The Role of Emojis and Emoticons
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866929385626402816 |
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| author | Jazi, Saba Yousefian Mirzaeinia, Amir Jazi, Sina Yousefian |
| author_facet | Jazi, Saba Yousefian Mirzaeinia, Amir Jazi, Sina Yousefian |
| contents | In this effort we fine tuned different models based on BERT to detect the gender polarity of twitter accounts. We specially focused on analyzing the effect of using emojis and emoticons in performance of our model in classifying task. We were able to demonstrate that the use of these none word inputs alongside the mention of other accounts in a short text format like tweet has an impact in detecting the account holder's gender. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_09573 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Analyzing Gender Polarity in Short Social Media Texts with BERT: The Role of Emojis and Emoticons Jazi, Saba Yousefian Mirzaeinia, Amir Jazi, Sina Yousefian Computation and Language Artificial Intelligence In this effort we fine tuned different models based on BERT to detect the gender polarity of twitter accounts. We specially focused on analyzing the effect of using emojis and emoticons in performance of our model in classifying task. We were able to demonstrate that the use of these none word inputs alongside the mention of other accounts in a short text format like tweet has an impact in detecting the account holder's gender. |
| title | Analyzing Gender Polarity in Short Social Media Texts with BERT: The Role of Emojis and Emoticons |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2406.09573 |