Search Results for author: Deepanshu Vijay

Found 4 papers, 2 papers with code

Aggression Detection on Social Media Text Using Deep Neural Networks

1 code implementation • WS 2018 • Vinay Singh, Aman Varshney, Syed Sarfaraz Akhtar, Deepanshu Vijay, Manish Shrivastava

In this paper, we introduce a deep learning based classification system for Facebook posts and comments of Hindi-English Code-Mixed text to detect the aggressive behaviour of/towards users.

Classification General Classification

Paper
Code

Named Entity Recognition for Hindi-English Code-Mixed Social Media Text

1 code implementation • WS 2018 • Vinay Singh, Deepanshu Vijay, Syed Sarfaraz Akhtar, Manish Shrivastava

Named Entity Recognition (NER) is a major task in the field of Natural Language Processing (NLP), and also is a sub-task of Information Extraction.

BIG-bench Machine Learning Entity Extraction using GAN +3

Paper
Code

A Dataset of Hindi-English Code-Mixed Social Media Text for Hate Speech Detection

no code implementations • WS 2018 • Aditya Bohra, Deepanshu Vijay, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava

Hate speech detection in social media texts is an important Natural language Processing task, which has several crucial applications like sentiment analysis, investigating cyberbullying and examining socio-political controversies.

General Classification Hate Speech Detection +1

Paper
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Corpus Creation and Emotion Prediction for Hindi-English Code-Mixed Social Media Text

no code implementations • NAACL 2018 • Deepanshu Vijay, Aditya Bohra, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava

Emotion Prediction is a Natural Language Processing (NLP) task dealing with detection and classification of emotions in various monolingual and bilingual texts.

General Classification

Paper
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