1 code implementation • 20 Oct 2020 • 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 analysis on social media texts.
no code implementations • ICON 2019 • Tathagata Raha, Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
The proposed system is a modular approach that starts by tagging individual tokens with their respective languages and then passes them to different POS taggers, designed for different languages (English and Bengali, in our case).
no code implementations • 28 Jul 2020 • Sainik Kumar Mahata, Amrita Chandra, Dipankar Das, Sivaji Bandyopadhyay
The preparation of raw parallel corpus, sentiment analysis of the sentences and the training of a Character Based Neural Machine Translation model using the same has been discussed extensively in this paper.
no code implementations • 24 Jul 2020 • Avishek Garain, Sainik Kumar Mahata, Dipankar Das
This linguistic phenomenon poses a great challenge to conventional NLP domains such as Sentiment Analysis, Machine Translation, and Text Summarization, to name a few.
no code implementations • 9 Nov 2019 • Sainik Kumar Mahata, Soumil Mandal, Dipankar Das, Sivaji Bandyopadhyay
The use of multilingualism in the new generation is widespread in the form of code-mixed data on social media, and therefore a robust translation system is required for catering to the monolingual users, as well as for easier comprehension by language processing models.
no code implementations • 1 Aug 2019 • Avishek Garain, Sainik Kumar Mahata
This paper describes the system submitted to "Sentiment Analysis at SEPLN (TASS)-2019" shared task.
no code implementations • WS 2018 • Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
In the current work, we present a description of the system submitted to WMT 2018 News Translation Shared task.
no code implementations • WS 2019 • Sainik Kumar Mahata, Avishek Garain, Adityar Rayala, Dipankar Das, Sivaji Bandyopadhyay
In the current work, we present a description of the system submitted to WMT 2019 News Translation Shared task.
no code implementations • 31 Jul 2019 • Avishek Garain, Sainik Kumar Mahata, Subhabrata Dutta
This paper presents a method to apply Natural Language Processing for normalizing numeronyms to make them understandable by humans.
no code implementations • 12 Dec 2018 • Sainik Kumar Mahata, Soumil Mandal, Dipankar Das, Sivaji Bandyopadhyay
All of the systems use English-Hindi and English-Bengali language pairs containing simple sentences as well as sentences of other complexity.
no code implementations • 11 Mar 2018 • Soumil Mandal, Sainik Kumar Mahata, Dipankar Das
To gather attention and encourage researchers to work on this crisis, we prepared gold standard Bengali-English code-mixed data with language and polarity tag for sentiment analysis purposes.