Detection of Offensive Tweets: A Comparative Study
Journal Title: Computer Reviews Journal - Year 2018, Vol 1, Issue 1
Abstract
With the growing popularity, Twitter has become a major platform for posting views via tweets. Tweets contain useful, relevant and offensive content as well. More than a decade of research has resulted in numerous techniques and models to detect offensive content. However, little is known about lexically offensive and contextual offensive content. In this research paper, lexical offensive contents have been identified using two techniques- Rule-Based Naive Bayes (RNB) and a collaborative model of LDA with Naïve Bayes (LDANB). LDANB provides better results as compared to RNB for lexical offensive tweet detection. Further, contextually offensive contents are detected using newly devised Adjective Based approach. Contextual offensive content results prove to be better with Adjective based approach than Cosine similarity based results. To validate results of applied offensive tweet detection techniques three performance metrics- precision, Accuracy and recall are used.
Authors and Affiliations
Niyati Aggrawal
Keywords
Related Articles
- EP ID EP433742
- DOI -
- Views 147
- Downloads 0
On the Derivation and Analysis of a Highly Efficient Method for the Approximation of Quadratic Riccati Equations
A highly e¢cient method is derived and analyzed in this paper for the approximation of Quadratic Riccati Equations (QREs) using interpolation and collocation procedure. The derivation is carried out within a two-step int...
An Ensemble Model of Machine Learning Algorithms for the Severity of Sickle Cell Disease (Scd) Among Paediatrics Patients
This study was motivated at developing an ensemble of 3 supervised machine learning algorithms for the assessment of the severity of sickle cell disease (SCD) among paediatric patients. The study collected data from a te...
Cross-Layer Design of Dynamic Link Prediction Power Control Algorithm in Wireless Ad hoc Networks
In wireless communication era, Dynamic Link Prediction based Cross-Layer Power Control Algorithm (DLP-CLPCA) in wireless ad hoc networks provides a joint solution for the power consumption protocol as well as nodes link...
Robust RLS Wiener State Estimators In Linear Discrete-Time Stochastic Systems With Uncertain Parameters
This paper proposes the robust estimation technique for the signal and the state variables with respect to the state-space model having the general types of system matrices in linear discrete-time stochastic systems with...
The MOUSE approach: Mapping Ontologies using UML for System Engineers
To address the problem of semantic heterogeneity, there has been a large body of research directed toward the study of semantic mapping technologies. Although various semantic mapping technologies have been investigated,...