Is sarcasm detection capability beneficial for sentiment analysis?
This project’s main goal is to weigh the pros and cons of integrating sarcasm detection into sentiment analysis within Natural Language Processing (NLP). Sentiment Analysis aims to find out the emotional tone behind text. However, sarcasm, which often tells a meaning opposite to the meaning of the l...
Main Author: | Koh, Brian Jin Kiong |
---|---|
Other Authors: | Wang Wenya |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/181202 |
Similar Items
-
KnowleNet: knowledge fusion network for multimodal sarcasm detection
by: Yue, Tan, et al.
Published: (2023) -
Predicting mental health using social media sentiment analysis
by: Seo, Don Kang Rui
Published: (2024) -
Financial sentiment analysis: techniques and applications
by: Du, Kelvin, et al.
Published: (2024) -
An overview of stock trading with sentiment analysis
by: Tang, Yi Qwan
Published: (2024) -
Enhancing stock price prediction using machine learning techniques: a comparative analysis of ARIMA, LSTM with sentiment analysis, Transformers, and GPT-3
by: Agarwal, Anusha
Published: (2024)