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A review of the trends and challenges in adopting natural language processing methods for education feedback analysis
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 …
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
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 …
result, the related literature has grown at an unprecedented rate, offering valuable insights …
Negativity drives online news consumption
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 …
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 …
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
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 …
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 …
knowledge discovery, which seeks to identify significant topics from text collections. The …
The emergence of social media data and sentiment analysis in election prediction
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 …
network approaches to predict crucial decisions from online social media platforms. The …
Verbal behavior and the future of social science.
Natural language processing (NLP)—previously the domain of a select few language and
computer scientists—is undergoing an unprecedented surge in popularity across …
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
Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …
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
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 …
estimated 2.95 billion people in 2019 used social media worldwide. The widespread of the …