Apr 22, 2021 · We propose a novel methodology to classify the sentiment of tweets, based on BERT but focusing on emojis, treating them as an important source ...
Mar 26, 2021 · Leveraging Emoji to Improve Sentiment Classification of Tweets. In The 36th ACM/SIGAPP Symposium on Applied Computing. (SAC '21), March 22–26 ...
In this study, we propose a text pre-processing approach that takes into consideration negation words and emoji characteristics in text data by translating ...
To better compare across the training and testing sizes, we selected this classifier to compare across the varying sizes. This is shown in the graph below.
Missing: Leveraging improve
In this paper, we examine the effectiveness of incorporating Emoji data for Twitter data emotion classification.
This paper presents a simple strategy to process emojis: replace them with their natural language description and use pretrained word embeddings.
3 days ago · Their research demonstrated that using emoji embeddings significantly improved the performance of Twitter sentiment analysis tasks. Zhao ...
Compared with words, emojis can express individual emotions more accurately and directly. When analyzing short informal texts, such as tweets, blogs, or ...
Jan 31, 2023 · Instead of cleaning emojis out, converting them to their textual description can help boost sentiment classification accuracy and handle the out ...
Aug 21, 2024 · We emphasize the benefits of using emojis to enhance the comprehension of user sentiment. Our objective was to analyze the sentiments ...