The ability to explain why the model produced results in such a way is an important problem,
especially in the medical domain. Model explainability is important for building trust by …

Chinese short comment texts have the characteristics of feature sparseness, interlacing,
irregularity, etc., which makes it difficult to fully grasp the overall emotional tendency of …

User-generated content explodes in popularity daily on e-commerce platforms. It is crucial
for platform manipulators to sort out online reviews with repeatedly expressed opinions and …

Estimating emotions from text is essential for machines to make human-like decisions, but it
remains a challenge due to the significant time and manpower required for labeling training …

To improve fire prediction accuracy over existing methods, a double weighted naive Bayes
with compensation coefficient (DWCNB) method is proposed for fire prediction purposes …

Currently, the world is becoming digitalized. Ecommerce is enamoring strength in this
digitalized world through the accessibility of products reachable for customers. The recent …

Inferring the sentiment polarity or emotion category of subjective text is the fundamental task
of sentiment analysis. Recently, emotion detection in conversations that considering context …

The data generated by users on Twitter is extremely valuable for healthcare technology as it
can reveal important patterns that can greatly benefit the field in multiple ways. Notably, the …

In recent years, SNS has become a service that everyone uses. In this study, we analyze
Twitter, one of the most popular SNSs, which allows users to post their daily events and …

In our previous study, we used Naive Bayes to discriminate and quantify approval desire in
tweets based on words. To correctly understand a sentence, it is important to consider not …