PolarityAssigner predicts the semantic orientations of words by exploiting emoticons and latent polarities, using a LDA model which treats each sentiment- ...
PolarityAssigner predicts the semantic orientations of words by exploiting emoticons and latent polarities, using a LDA model which treats each sentiment- ...
sentiment-bearing word by exploiting emoticons and latent polarities. In micro blogs, emoticons are frequently used by people to emphasize their emotions.
Sentiment-Bearing New Words Mining: Exploiting Emoticons and Latent Polarities · List of references · Publications that cite this publication.
Fei Wang, Yunfang Wu: Sentiment-Bearing New Words Mining: Exploiting Emoticons and Latent Polarities. CICLing (2) 2015: 166-179.
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The following publications are possibly variants of this publication: Sentiment-Bearing New Words Mining: Exploiting Emoticons and Latent PolaritiesFei Wang, ...
Jun 25, 2021 · Wang F, Wu Y (2015) Sentiment-bearing new words mining: Exploiting emoticons and latent polarities. In: International conference on ...
Fei Wang's 4 research works with 34 citations, including: Sentiment-Bearing New Words Mining: Exploiting Emoticons and Latent Polarities.
The first emoji sentiment lexicon is provided, called the Emoji Sentiment Ranking, and a sentiment map of the 751 most frequently used emojis is drawn, ...
Missing: Bearing Latent
The two volumes LNCS 9041 and 9042 constitute the proceedings of the 16th International Conference on Computational Linguistics and Intelligent Text ...