Publication Type : Conference Paper
Publisher : FIRE 2019 - Forum for Information Retrieval Evaluation
Source : FIRE 2019 - Forum for Information Retrieval Evaluation, Kolkata, India (2019)
Campus : Coimbatore
School : School of Artificial Intelligence, School of Artificial Intelligence - Coimbatore, School of Engineering
Center : Computational Engineering and Networking
Department : Computer Science, Electronics and Communication
Year : 2019
Abstract : Nowadays the usage of social media sites like Facebook and Twitter has increased rapidly which has lead to huge flooding of data in the social media sites. Though these social media sites give free opportunities to people to express and share their thoughts they also end up in spread of huge amount of hate content. In this paper we present a domain specific word embedding model for classification of English tweets to Non Hate-Offensive and Hate-Offensive and a fastText model for Hindi text classification. The classification is done using the dataset got from HASOC 2019 shared task. Deep learning algorithm is used as the classifier.
Cite this Research Publication : Sreelakshmi, K., Premjith, B., Soman, K.P., "Amrita CEN at HASOC 2019: Hate speech detection in roman and devanagiri scripted text," (2019) CEUR Workshop Proceedings, 2517, pp. 366-369.