Improving Hate Speech Detection of Urdu Tweets Using Sentiment Analysis

Improving Hate Speech Detection of Urdu Tweets Using Sentiment Analysis

Sentiment Analysis is a technique that is being used abundantly nowadays for customer reviews analysis, popularity analysis of electoral candidates, hate speech detection and similar applications. Sentiment analysis on tweets encounters challenges such as highly skewed classes, high dimensional feat...

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Bibliographic Details
Main Authors: Muhammad Z. Ali, Ehsan-Ul-Haq, Sahar Rauf, Kashif Javed, Sarmad Hussain
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Sentiment analysis
hate speech
data sparsity
highly skewed classes
high-dimensional feature vector
Online Access:https://ieeexplore.ieee.org/document/9449874/

Internet

https://ieeexplore.ieee.org/document/9449874/

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