Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach

MS Islam, MN Kabir, NA Ghani, KZ Zamli… - Artificial Intelligence …, 2024 - Springer
Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …

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 …

BERT-based ensemble learning for multi-aspect hate speech detection

AC Mazari, N Boudoukhani, A Djeffal - Cluster Computing, 2024 - Springer
The social media world nowadays is overwhelmed with unfiltered content ranging from
cyberbullying and cyberstalking to hate speech. Therefore, identifying and cleaning up such …

[PDF][PDF] Machine learning methods for toxic comment classification: a systematic review

D Androcec - Acta Universitatis Sapientiae, Informatica, 2020 - 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 …

Emotional sentiment analysis of social media content for mental health safety

F Benrouba, R Boudour - Social Network Analysis and Mining, 2023 - Springer
Text sentiment analysis is mostly used for the assessment of the author's mood depending
on the context. The purpose of sentiment analysis is to discover the exactness of the …

[HTML][HTML] Social media toxicity classification using deep learning: real-world application UK Brexit

H Fan, W Du, A Dahou, AA Ewees, D Yousri, MA Elaziz… - Electronics, 2021 - mdpi.com
Social media has become an essential facet of modern society, wherein people share their
opinions on a wide variety of topics. Social media is quickly becoming indispensable for a …

Comment toxicity detection via a multichannel convolutional bidirectional gated recurrent unit

A Kumar, S Abirami, TE Trueman, E Cambria - Neurocomputing, 2021 - Elsevier
Recently, toxicity identification has become the most serious problem in online communities
and social networking sites. Therefore, an automatic toxic identification system needs to be …

An efficient deep learning for Thai sentiment analysis

N Khamphakdee, P Seresangtakul - Data, 2023 - mdpi.com
The number of reviews from customers on travel websites and platforms is quickly
increasing. They provide people with the ability to write reviews about their experience with …

Cluster editing with overlap** communities

E Arrighi, M Bentert, PG Drange… - 18th International …, 2023 - drops.dagstuhl.de
Cluster Editing, also known as correlation clustering, is a well-studied graph modification
problem. In this problem, one is given a graph and allowed to perform up to k edge additions …

[HTML][HTML] Sentiment overflow in the testing stack: Analyzing software testing posts on Stack Overflow

M Swillus, A Zaidman - Journal of Systems and Software, 2023 - Elsevier
Software testing is an integral part of modern software engineering practice. Past research
has not only underlined its significance, but also revealed its multi-faceted nature. The …