A review of the trends and challenges in adopting natural language processing methods for education feedback analysis

T Shaik, X Tao, Y Li, C Dann, J McDonald… - Ieee …, 2022 - ieeexplore.ieee.org
Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many
business and research domains. Machine learning, deep learning, and natural language …

[HTML][HTML] Social sustainability in the age of digitalization: A systematic literature Review on the social implications of industry 4.0

A Grybauskas, A Stefanini, M Ghobakhloo - Technology in society, 2022 - Elsevier
The fourth industrial revolution has turned into a reality during the past few years, and, as a
result, the related literature has grown at an unprecedented rate, offering valuable insights …

Negativity drives online news consumption

CE Robertson, N Pröllochs, K Schwarzenegger… - Nature human …, 2023 - nature.com
Online media is important for society in informing and sha** opinions, hence raising the
question of what drives online news consumption. Here we analyse the causal effect of …

Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks

A Onan - Concurrency and computation: Practice and …, 2021 - Wiley Online Library
Sentiment analysis is one of the major tasks of natural language processing, in which
attitudes, thoughts, opinions, or judgments toward a particular subject has been extracted …

A systematic review of the use of topic models for short text social media analysis

CDP Laureate, W Buntine, H Linger - Artificial Intelligence Review, 2023 - Springer
Recently, research on short text topic models has addressed the challenges of social media
datasets. These models are typically evaluated using automated measures. However, recent …

Two-stage topic extraction model for bibliometric data analysis based on word embeddings and clustering

A Onan - IEEE Access, 2019 - ieeexplore.ieee.org
Topic extraction is an essential task in bibliometric data analysis, data mining and
knowledge discovery, which seeks to identify significant topics from text collections. The …

The emergence of social media data and sentiment analysis in election prediction

P Chauhan, N Sharma, G Sikka - Journal of Ambient Intelligence and …, 2021 - Springer
This work presents and assesses the power of various volumetric, sentiment, and social
network approaches to predict crucial decisions from online social media platforms. The …

Verbal behavior and the future of social science.

RL Boyd, DM Markowitz - American Psychologist, 2024 - psycnet.apa.org
Natural language processing (NLP)—previously the domain of a select few language and
computer scientists—is undergoing an unprecedented surge in popularity across …

Short text topic modelling approaches in the context of big data: taxonomy, survey, and analysis

BAH Murshed, S Mallappa, J Abawajy… - Artificial Intelligence …, 2023 - Springer
Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …

Critical impact of social networks infodemic on defeating coronavirus COVID-19 pandemic: Twitter-based study and research directions

A Mourad, A Srour, H Harmanani… - … on Network and …, 2020 - ieeexplore.ieee.org
News creation and consumption has been changing since the advent of social media. An
estimated 2.95 billion people in 2019 used social media worldwide. The widespread of the …