Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
Sentiment analysis (SA) has gained much traction In the field of artificial intelligence (AI) and
natural language processing (NLP). There is growing demand to automate analysis of user …
natural language processing (NLP). There is growing demand to automate analysis of user …
A literature review of textual hate speech detection methods and datasets
F Alkomah, X Ma - Information, 2022 - mdpi.com
Online toxic discourses could result in conflicts between groups or harm to online
communities. Hate speech is complex and multifaceted harmful or offensive content …
communities. Hate speech is complex and multifaceted harmful or offensive content …
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection
As the COVID-19 pandemic sweeps across the world, it has been accompanied by a
tsunami of fake news and misinformation on social media. At the time when reliable …
tsunami of fake news and misinformation on social media. At the time when reliable …
Handling bias in toxic speech detection: A survey
Detecting online toxicity has always been a challenge due to its inherent subjectivity. Factors
such as the context, geography, socio-political climate, and background of the producers …
such as the context, geography, socio-political climate, and background of the producers …
Transformer-enhanced Hawkes process with decoupling training for information cascade prediction
The ability to model the information diffusion process and predict its size is crucial to
understanding information propagation mechanism and is useful for many applications such …
understanding information propagation mechanism and is useful for many applications such …
SEHC: A Benchmark Setup to Identify Online Hate Speech in English
Thanks to the digital age, online speech and information may now be disseminated
anonymously without regard for repercussions. Regulators face a unique problem with …
anonymously without regard for repercussions. Regulators face a unique problem with …
Convolutional learning on multigraphs
L Butler, A Parada-Mayorga… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Graph convolutional learning has led to many exciting discoveries in diverse areas.
However, in some applications, traditional graphs are insufficient to capture the structure …
However, in some applications, traditional graphs are insufficient to capture the structure …
Revisiting hate speech benchmarks: From data curation to system deployment
Social media is awash with hateful content, much of which is often veiled with linguistic and
topical diversity. The benchmark datasets used for hate speech detection do not account for …
topical diversity. The benchmark datasets used for hate speech detection do not account for …
Would your tweet invoke hate on the fly? forecasting hate intensity of reply threads on twitter
Curbing hate speech is undoubtedly a major challenge for online microblogging platforms
like Twitter. While there have been studies around hate speech detection, it is not clear how …
like Twitter. While there have been studies around hate speech detection, it is not clear how …
Multiscale information diffusion prediction with minimal substitution neural network
Information diffusion prediction is a complex task due to the dynamic of information
substitution present in large social platforms, such as Weibo and Twitter. This task can be …
substitution present in large social platforms, such as Weibo and Twitter. This task can be …