DOIONLINE 
DOIONLINE Publish In |
International Journal of Soft Computing And Artificial Intelligence (IJSCAI)-IJSCAI |
 Journal Home Volume Issue |
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Issue |
Volume-11,Issue-1 ( May, 2023 ) | |||||||||
Paper Title |
Comparing Deep Learning Techniques for Emoticon Prediction in Hindi Sentences | |||||||||
Author Name |
Aadi Rawat, Akshat Jain, Amogh Sachdeva, Rajesh Kumar Yadav | |||||||||
Affilition |
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Pages |
57-61 | |||||||||
Abstract |
Emoticons are small graphics that are commonly used in texting on social media platforms. They provide a mixture of graphical and textual content at the same time and offer a unique manner of connection. The analysis of emoticons allows a better understanding of the user’s feelings and thus is an important part of understanding natural language. In the research presented below, we analyzed the correlation between emoticons and words belonging to the Hindi language and predicted the appropriate emoticons for a collection of text or Twitter messages. We used sequence-tosequence learning with word embeddings and encoder-decoder-based machine translation to translate the text to English and then utilised various machine learning and deep learning based approaches to predict the emoticons. We present a comparison of the various techniques we used during our experiments. Keywords – Emoticon Prediction, Neural Machine Translation, BiLSTM, GRU | |||||||||
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