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Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach
Social media is used to categorise products or services, but analysing vast comments is time-
consuming. Researchers use sentiment analysis via natural language processing …
consuming. Researchers use sentiment analysis via natural language processing …
Impact of SMOTE on imbalanced text features for toxic comments classification using RVVC model
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 …
BERT-based ensemble learning for multi-aspect hate speech detection
The social media world nowadays is overwhelmed with unfiltered content ranging from
cyberbullying and cyberstalking to hate speech. Therefore, identifying and cleaning up such …
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 …
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 …
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
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 …
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
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 …
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 …
increasing. They provide people with the ability to write reviews about their experience with …
Cluster editing with overlap** communities
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 …
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 …
has not only underlined its significance, but also revealed its multi-faceted nature. The …