Sentic computing for social good: sentiment analysis on toxic comment
With the neural network revolutions and increased computational power, Artificial Intelligence has been applied in various fields for improving life, such as concept-level sentiment analysis. We focused on one of the sentiment analysis applications: toxic comments detection. These inappropriate mess...
Main Author: | Wang Jingtan |
---|---|
Other Authors: | Erik Cambria |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/156503 |
Similar Items
-
OntoSenticNet : a commonsense ontology for sentiment analysis
by: Dragoni, Mauro, et al.
Published: (2020) -
Sentic LSTM : a hybrid network for targeted aspect-based sentiment analysis
by: Ma, Yukun, et al.
Published: (2020) -
Sentic computing for HIV prevention and care
by: Low, Valerian Qin Ling
Published: (2022) -
SenticAPI testing for polarity classification and emotion recognition on Reddit comments regarding ChatGPT
by: Tan, Mazel Jia Ying
Published: (2024) -
Analysing public sentiment towards government policies in Singapore using SenticNet
by: Yap, Eugene
Published: (2024)