Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Hate Speech Detection on Twitter: Feature Engineering v.s. Feature Selection
Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter
Target-dependent twitter sentiment classification with rich automatic features
Detecting Hate Speech on Twitter Using a Convolution-GRU Based Deep Neural Network
Characterizing and Detecting Hateful Users on Twitter
Using Skipgrams, Bigrams, and Part of Speech Features for Sentiment Classification of Twitter Messages.
Cyber Hate Speech on Twitter: An Application of Machine Classification and Statistical Modeling for Policy and Decision Making
Twitter sentiment analysis with different feature extractors and dimensionality reduction using supervised learning algorithms
A Lexicon-based Approach for Hate Speech Detection
The comparation of text mining with Naive Bayes classifier, nearest neighbor, and decision tree to detect Indonesian swear words on Twitter
Metaheuristic algorithms for feature selection in sentiment analysis
Hyperbolic Feature-based Sarcasm Detection in Tweets: A Machine Learning Approach
Rumor Detection and Classification for Twitter Data
Brand-Related Twitter Sentiment Analysis Using Feature Engineering and the Dynamic Architecture for Artificial Neural Networks
An Analysis of Event-Agnostic Features for Rumour Classification in Twitter
Detecting Hate Speech in Social Media
Rumor detection on twitter
Comparison Research on Text Pre-processing Methods on Twitter Sentiment Analysis
Hate Speech Detection Using Natural Language Processing Techniques
Degree based Classification of Harmful Speech using Twitter Data
Learning to Classify Hate and Extremism Promoting Tweets
Passive Sensor Integration for Vehicle Self-Localization in Urban Traffic Environment †
Deep Convolutional Network Based on Pyramid Architecture
Comparison of the communication protocols DLMS/COSEM, SML and IEC 61850 for smart metering applications
Trolls just want to have fun
CHANGE DETECTION IN CONTEXT