Impact of SMOTE on imbalanced text features for toxic comments classification using RVVC model
V Rupapara, F Rustam, HF Shahzad… - IEEE …, 2021 - ieeexplore.ieee.org
Social media platforms and microblogging websites have gained accelerated popularity
during the past few years. These platforms are used for expressing views and opinions …
during the past few years. These platforms are used for expressing views and opinions …
Tourist recommender systems based on emotion recognition—a scientometric review
L Santamaria-Granados, JF Mendoza-Moreno… - Future Internet, 2020 - mdpi.com
Recommendation systems have overcome the overload of irrelevant information by
considering users' preferences and emotional states in the fields of tourism, health, e …
considering users' preferences and emotional states in the fields of tourism, health, e …
[PDF][PDF] Machine learning methods for toxic comment classification: a systematic review
D Androcec - Acta Universitatis Sapientiae, Informatica, 2020 - intapi.sciendo.com
Nowadays users leave numerous comments on different social networks, news portals, and
forums. Some of the comments are toxic or abusive. Due to numbers of comments, it is …
forums. Some of the comments are toxic or abusive. Due to numbers of comments, it is …
Comparison of deep learning models and various text pre-processing techniques for the toxic comments classification
The emergence of anti-social behaviour in online environments presents a serious issue in
today's society. Automatic detection and identification of such behaviour are becoming …
today's society. Automatic detection and identification of such behaviour are becoming …
Leveraging transformers for hate speech detection in conversational code-mixed tweets
In the current era of the internet, where social media platforms are easily accessible for
everyone, people often have to deal with threats, identity attacks, hate, and bullying due to …
everyone, people often have to deal with threats, identity attacks, hate, and bullying due to …
Popularity prediction of instagram posts
Predicting the popularity of posts on social networks has taken on significant importance in
recent years, and several social media management tools now offer solutions to improve …
recent years, and several social media management tools now offer solutions to improve …
An assessment of deep learning models and word embeddings for toxicity detection within online textual comments
Today, increasing numbers of people are interacting online and a lot of textual comments
are being produced due to the explosion of online communication. However, a paramount …
are being produced due to the explosion of online communication. However, a paramount …
Analyzing Indonesian students' google classroom acceptance during covid-19 outbreak: Applying an extended unified theory of acceptance and use of technology …
The primary goal of this study is to explore what makes teachers accept Google Classroom
(GCR). GCR platform is an emerging technology that could support online learning activities …
(GCR). GCR platform is an emerging technology that could support online learning activities …
Byte embeddings for file fragment classification
ME Haque, ME Tozal - Future Generation Computer Systems, 2022 - Elsevier
In digital forensics, file carving is the process of recovering files on a storage media in part or
in whole without any file system information. An important problem in file carving is the …
in whole without any file system information. An important problem in file carving is the …
[HTML][HTML] A novel method for detecting psychological stress at tweet level using neighborhood tweets
P Kvtkn, T Ramakrishnudu - Journal of King Saud University-Computer and …, 2022 - Elsevier
There is an increasing interest in the study of detecting psychological stress from the social
media like Twitter. However, Twitter has a limitation on the number of characters used per …
media like Twitter. However, Twitter has a limitation on the number of characters used per …