Abstract Machine Learning (ML) algorithms are used to train the machines to perform various complicated tasks that begin to modify and improve with experiences. It has become …
The problem of information overload in online review platforms has seriously hampered many customers' ability to evaluate the quality of products or businesses when making …
Social media analysis is a fast growing research area aimed at extracting useful information from social media platforms. This paper presents a methodology, called IOM-NN (Iterative …
JAT da Silva - Current Research in Behavioral Sciences, 2021 - Elsevier
When academics' opinions, which are published in academic journals as letters to the editor or commentaries, are retracted based on sensitivities and objections that are raised for …
YJ Lee, CG Lim, Y Choi, JH Lm… - Proceedings of the 1st …, 2022 - aclanthology.org
Recently, many prior works have made their own agents generate more personalized and engaging responses using personachat. However, since this dataset is frozen in 2018, the …
Online customer reviews have become a popular source of information that influences the purchasing decisions of many prospective customers. However, the rapidly increasing …
Recent technological developments and the availability of enormous amounts of real-time data have played a vital role in the expansion, evolution, and success of smart city projects …
M He, C Ma, R Wang - Applied Sciences, 2022 - mdpi.com
In the era of mobile Internet, college students increasingly tend to express their opinions and views through online social media; furthermore, social media influence the value judgments …
The rising usage of social media has motivated to invent different methodologies of anonymous writing, which leads to an increase in malicious and suspicious activities. This …