Deep learning for Arabic subjective sentiment analysis: Challenges and research opportunities
The fields of machine learning and Web technologies have witnessed significant
development in the last years. This caused a ceaseless and rapid growth in sharing of the …
development in the last years. This caused a ceaseless and rapid growth in sharing of the …
COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets
SJ Malla, PJA Alphonse - Applied Soft Computing, 2021 - Elsevier
Abstract On 11 March 2020, the (WHO) World Health Organization declared COVID-19
(CoronaVirus Disease 2019) as a pandemic. A further crisis has manifested mass fear and …
(CoronaVirus Disease 2019) as a pandemic. A further crisis has manifested mass fear and …
Feature selection and ensemble-based intrusion detection system: an efficient and comprehensive approach
E Jaw, X Wang - Symmetry, 2021 - mdpi.com
The emergence of ground-breaking technologies such as artificial intelligence, cloud
computing, big data powered by the Internet, and its highly valued real-world applications …
computing, big data powered by the Internet, and its highly valued real-world applications …
Türkçe metinlerde duygu analizi
S Tokcaer - Yaşar Üniversitesi E-Dergisi, 2021 - dergipark.org.tr
Günümüzde yaygınlaşan internet ve sosyal medya kullanımının artmasıyla ortaya çıkan
büyük verinin, analiz edilerek anlamlı bilgiye dönüştürülmesi oldukça büyük bir öneme …
büyük verinin, analiz edilerek anlamlı bilgiye dönüştürülmesi oldukça büyük bir öneme …
Sentiment analysis of tweets using a unified convolutional neural network‐long short‐term memory network model
Sentiment analysis focuses on identifying and classifying the sentiments expressed in text
messages and reviews. Social networks like Twitter, Facebook, and Instagram generate …
messages and reviews. Social networks like Twitter, Facebook, and Instagram generate …
Determining the efficiency of drugs under special conditions from users' reviews on healthcare web forums
Sentiment analysis is the extraction and categorization of sentiments that have been
expressed in text data using text analysis techniques. Manifested by earlier studies …
expressed in text data using text analysis techniques. Manifested by earlier studies …
Combating hate speech using an adaptive ensemble learning model with a case study on COVID-19
S Agarwal, CR Chowdary - Expert Systems with Applications, 2021 - Elsevier
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 …
A multi-criteria approach for arabic dialect sentiment analysis for online reviews: Exploiting optimal machine learning algorithm selection
A sentiment analysis of Arabic texts is an important task in many commercial applications
such as Twitter. This study introduces a multi-criteria method to empirically assess and rank …
such as Twitter. This study introduces a multi-criteria method to empirically assess and rank …
Mining and classifying customer reviews: a survey
With the increasing number of customer reviews on the Web, there is a growing need for
effective methods to retrieve valuable information hidden in these reviews, as sellers need to …
effective methods to retrieve valuable information hidden in these reviews, as sellers need to …
Arasencorpus: A semi-supervised approach for sentiment annotation of a large arabic text corpus
At a time when research in the field of sentiment analysis tends to study advanced topics in
languages, such as English, other languages such as Arabic still suffer from basic problems …
languages, such as English, other languages such as Arabic still suffer from basic problems …