In this paper, we build a computational model by extracted various features namely: linguistic feature, semantic feature, and lexicon feature to improve emoji ...
In this paper, we build a computational model by extracted various features namely: linguistic feature, semantic feature, and lexicon feature to improve emoji ...
Semantic Scholar extracted view of "Combining Linguistic, Semantic and Lexicon Feature for Emoji Classification in Twitter Dataset" by R. Wahyuni et al.
In this paper, we build a computational model by extracted various features namely: linguistic feature, semantic feature, and lexicon feature to improve emoji ...
A simple Lexicon is simple one which is based on polarity score of the word and classify the sentiment as negative, neutral, and positive while on the other ...
Missing: Linguistic, | Show results with:Linguistic,
In this paper, we propose a novel approach to predict the users' opinions expressed through textual tweets and emojis. Thus, we construct an emoji sentiment ...
Ranking Emoji. Combining Linguistic, Semantic and Lexicon Feature for Emoji Classification in Twitter Dataset. Article. Full-text available. Jan 2018.
May 28, 2024 · This paper presents a novel task of predicting multiple emojis in English-Hindi code-mixed sentences and proposes a new dataset called SENTIMOJI.
Sep 16, 2024 · We propose a new semantics preserving evaluation framework for emoji recommendation, which measures a model's ability to recommend emojis that maintain the ...
Missing: Lexicon Feature
This work proposes the HDM of tweets using both texts and emojis for bi-sense SA; the SA results using HDM were more accurate than the exclusive use of ...
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