A review of semi-supervised learning for text classification

JM Duarte, L Berton - Artificial intelligence review, 2023 - Springer
A huge amount of data is generated daily leading to big data challenges. One of them is
related to text mining, especially text classification. To perform this task we usually need a …

A survey on classification techniques for opinion mining and sentiment analysis

F Hemmatian, MK Sohrabi - Artificial intelligence review, 2019 - Springer
Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …

Sentiment analysis of public social media as a tool for health-related topics

F Arias, MZ Nunez, A Guerra-Adames… - IEEE …, 2022 - ieeexplore.ieee.org
For decades, researchers have experimented with the possibility that machines can equal
human linguistic capabilities. Recently, advances in the field of natural language processing …

Effects of social-interactive engagement on the dropout ratio in online learning: insights from MOOC

W Wang, L Guo, L He, YJ Wu - Behaviour & Information …, 2019 - Taylor & Francis
In online learning, the high dropout ratio is a serious problem and reflects a poor level of
motivation in e-learning programmes. Social-interactive engagement may greatly affect …

Signaling persuasion in crowdfunding entrepreneurial narratives: the subjectivity vs objectivity debate

W Wang, L He, YJ Wu, M Goh - Computers in Human Behavior, 2021 - Elsevier
A crowdfunding narrative often has a title, abstract, detailed description, reward statements,
and the creators' biographies, which carry elements of subjectivity and objectivity in their …

A linguistic intuitionistic cloud decision support model with sentiment analysis for product selection in E-commerce

R Liang, J Wang - International Journal of Fuzzy Systems, 2019 - Springer
Online product reviews significantly impact the online purchase decisions of consumers.
However, extant decision support models have neglected the randomness and fuzziness of …

Prediction of fundraising outcomes for crowdfunding projects based on deep learning: a multimodel comparative study

W Wang, H Zheng, YJ Wu - Soft Computing, 2020 - Springer
As a new financing model, crowdfunding has been developed rapidly in recent years and
has attracted the attention of investors and small-and medium-sized enterprises and …

The effect of technical and functional quality on online physician selection: Moderation effect of competition intensity

J Fang, L Wen, H Ren, C Wen - Information Processing & Management, 2022 - Elsevier
In this study, we use a hybrid sentiment analysis approach to identify and assess service
quality dimensions (ie, technical and functional quality) in unstructured textual reviews and …

How much do social connections matter in fundraising outcomes?

L Guo, W Wang, YJ Wu, M Goh - Financial Innovation, 2021 - Springer
This study examines the role of social connections and network centrality in attracting
funders to crowdfunding campaigns. We classify social connections as either external (eg …

A novel feature extraction methodology for sentiment analysis of product reviews

X Chen, Y Xue, H Zhao, X Lu, X Hu, Z Ma - Neural Computing and …, 2019 - Springer
Feature extraction is one of the key steps for text sentiment analysis (SA), and the
corresponding algorithms have important effect on the results. In the paper, a novel …