Analyzing Gender Polarity in Short Social Media Texts with BERT: The Role of Emojis and Emoticons

Fuente: arXiv
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Hauptverfasser: Jazi, Saba Yousefian, Mirzaeinia, Amir, Jazi, Sina Yousefian
Format: Preprint
Veröffentlicht: 2024
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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