148 citations · 759 across the 35 of their papers we have counts for
5 papers · 1 filter
JUNLP@Dravidian-CodeMix-FIRE2020: Sentiment Classification of Code-Mixed Tweets using Bi-Directional RNN and Language Tags
Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
Sentiment analysis has been an active area of research in the past two decades and recently, with the advent of social media, there has been an increasing demand for sentiment anal…
Development of POS tagger for English-Bengali Code-Mixed data
Tathagata Raha, Sainik Kumar Mahata, Dipankar Das +1
Code-mixed texts are widespread nowadays due to the advent of social media. Since these texts combine two languages to formulate a sentence, it gives rise to various research probl…
Preparation of Sentiment tagged Parallel Corpus and Testing its effect on Machine Translation
Sainik Kumar Mahata, Amrita Chandra, Dipankar Das +1
In the current work, we explore the enrichment in the machine translation output when the training parallel corpus is augmented with the introduction of sentiment analysis. The pap…
JUNLP@SemEval-2020 Task 9:Sentiment Analysis of Hindi-English code mixed data using Grid Search Cross Validation
Avishek Garain, Sainik Kumar Mahata, Dipankar Das
Code-mixing is a phenomenon which arises mainly in multilingual societies. Multilingual people, who are well versed in their native languages and also English speakers, tend to cod…
Investigating Deep Learning Approaches for Hate Speech Detection in Social Media
Prashant Kapil, Asif Ekbal, Dipankar Das
The phenomenal growth on the internet has helped in empowering individual's expressions, but the misuse of freedom of expression has also led to the increase of various cyber crime…