A survey on sentiment analysis methods, applications, and challenges
The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …
A review of the modification strategies of the nature inspired algorithms for feature selection problem
This survey is an effort to provide a research repository and a useful reference for
researchers to guide them when planning to develop new Nature-inspired Algorithms …
researchers to guide them when planning to develop new Nature-inspired Algorithms …
Comprehensive review of text-mining applications in finance
Text-mining technologies have substantially affected financial industries. As the data in
every sector of finance have grown immensely, text mining has emerged as an important …
every sector of finance have grown immensely, text mining has emerged as an important …
An evolutionary fake news detection method for covid-19 pandemic information
As the COVID-19 pandemic rapidly spreads across the world, regrettably, misinformation
and fake news related to COVID-19 have also spread remarkably. Such misinformation has …
and fake news related to COVID-19 have also spread remarkably. Such misinformation has …
A survey on sentiment analysis and its applications
Analyzing and understanding the sentiments of social media documents on Twitter,
Facebook, and Instagram has become a very important task at present. Analyzing the …
Facebook, and Instagram has become a very important task at present. Analyzing the …
Accuracy of Malaysia Public Response to Economic Factors During the Covid-19 Pandemic Using Vader and Random Forest
This study conducted a sentiment analysis of the impact of the Covid-19 pandemic in the
economic sector on people's lives through social media Twitter. The analysis was carried out …
economic sector on people's lives through social media Twitter. The analysis was carried out …
Combating hate speech using an adaptive ensemble learning model with a case study on COVID-19
Social media platforms generate an enormous amount of data every day. Millions of users
engage themselves with the posts circulated on these platforms. Despite the social …
engage themselves with the posts circulated on these platforms. Despite the social …
[HTML][HTML] A hybrid deep learning architecture for opinion-oriented multi-document summarization based on multi-feature fusion
Opinion summarization is a process to produce concise summaries from a large number of
opinionated texts. In this paper, we present a novel deep-learning-based method for the …
opinionated texts. In this paper, we present a novel deep-learning-based method for the …
Online public opinion analysis on infrastructure megaprojects: Toward an analytical framework
Z Zhou, X Zhou, L Qian - Journal of Management in Engineering, 2021 - ascelibrary.org
The development of an infrastructure megaproject is closely related to society and the public
community. It is necessary to pay enough attention to public opinions that generally have a …
community. It is necessary to pay enough attention to public opinions that generally have a …
Arabic sentiment analysis about online learning to mitigate covid-19
MM Ali - Journal of Intelligent Systems, 2021 - degruyter.com
The Covid-19 pandemic is forcing organizations to innovate and change their strategies for
a new reality. This study collects online learning related tweets in Arabic language to …
a new reality. This study collects online learning related tweets in Arabic language to …