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Sarcasm Detection in Newspaper Headlines
Vishnu Sai Reddy Chilpuri
, Saaman Nadeem
, Tahir Mehmood
,
Muhammad Yaqoob
Department of Computer Science
School of Physics, Engineering & Computer Science
Biocomputation Research Group
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
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Keyphrases
Bag of Visual Words (BoVW)
20%
Bayes Rule
20%
Bidirectional Long Short-term Memory (BiLSTM)
40%
Bigram
20%
Decision Tree Forest
20%
Deep Learning Model
20%
Document Frequency
20%
Facebook
20%
Grab
20%
Human Communication
20%
Logistic Regression
40%
Machine Learning Algorithms
40%
Machine Learning Models
20%
Naïve Bayes
40%
Negative Comments
20%
Negative Expressions
20%
News Headlines
60%
News Reporting
40%
Newspaper Headlines
100%
Preferred Models
20%
Random Decision Trees
20%
Random Forest
20%
Random Tree
20%
Regression Forest
20%
Sarcasm
100%
Sarcasm Detection
100%
Social Networks
20%
Three-machine
20%
Tokenization
20%
Twitter
20%
Unigram
40%
Vectorization Method
20%
Computer Science
Bidirectional Long Short-Term Memory Network
66%
Convey Information
33%
Decision Trees
66%
Deep Learning Model
33%
Facebook
33%
Learning System
33%
Logistic Regression
66%
Machine Learning
33%
Machine Learning Algorithm
66%
Negative Comment
33%
Random Decision Forest
66%
Sarcasm Detection
100%
Social Network
33%
Vectorization
33%