In this paper, we propose a novel method to predict readers' emotion based on content analysis. We develop an emotion dictionary with a selected weighting�...

When browsing news on the web, various emotions may be evoked in readers and furthermore cause different influence on their minds and life. We expect that�...

Abstract. Currently, more and more information are spreading on the web. These large amounts of information might influence web users' emo-.

In this paper, we propose a novel method to predict readers' emotion based on content analysis. We develop an emotion dictionary with a selected weighting�...

In this paper, we propose a novel method to predict readers' emotion based on content analysis. We develop an emotion dictionary with a selected weighting�...

Shuotian Bai, Yue Ning, Sha Yuan, Tingshao Zhu : Predicting Reader's Emotion on Chinese Web News Articles. ICPCA/SWS 2012: 16-27.

Jan 2, 2024 � A large-scale Chinese dataset for social emotion prediction (LCSEP) to trending topics collected from the Chinese microblog Sina Weibo.

Nov 23, 2022 � They are predicting the evoked emotions towards the whole news article and we are using only the headline as we aim to explore how specific.

We create a new corpus consisting of Indonesian news articles for predicting readers' emotion distribution affected by news articles. 2. We compare the�...

Abstract: Emotions are an important factor that affects our communication. Considerable research has been done to detect and classify emotion in text.