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Debanjan Mahata
Debanjan Mahata
Senior Research Scientist @ Bloomberg
Verified email at bloomberg.net - Homepage
Title
Cited by
Cited by
Year
Time-and event-driven modeling of blogger influence
N Agarwal, D Mahata, H Liu
Encyclopedia of Social Network Analysis and Mining, 2014
298*2014
Detecting offensive tweets in hindi-english code-switched language
P Mathur, R Shah, R Sawhney, D Mahata
Proceedings of the sixth international workshop on natural language …, 2018
1632018
Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles Using Phrase Embeddings
D Mahata, J Kuriakose, RR Shah, R Zimmermann
NAACL-HLT 2018, 2018
1522018
Keyphrase extraction from scholarly articles as sequence labeling using contextualized embeddings
D Sahrawat, D Mahata, M Kulkarni, H Zhang, R Gosangi, A Stent, ...
ECIR 2020, arXiv preprint arXiv:1910.08840, 2019
121*2019
Aspect-based sentiment analysis of financial headlines and microblogs
Hitkul, S Shahid, S Singhal, D Mahata, P Kumaraguru, RR Shah
Deep Learning-Based Approaches for Sentiment Analysis, 111-137, 2020
114*2020
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task
A Sarker, M Belousov, J Friedrichs, K Hakala, S Kiritchenko, F Mehryary, ...
Journal of the American Medical Informatics Association 25 (10), 1274-1283, 2018
972018
SNAP-BATNET: Cascading author profiling and social network graphs for suicide ideation detection on social media
R Mishra, PP Sinha, R Sawhney, D Mahata, P Mathur, RR Shah
NAACL-HLT 2019, 147-156, 2019
772019
Get it scored using autosas—an automated system for scoring short answers
Y Kumar, S Aggarwal, D Mahata, RR Shah, P Kumaraguru, ...
AAAI 2019 33 (01), 9662-9669, 2019
732019
Learning rich representation of keyphrases from text
M Kulkarni, D Mahata, R Arora, R Bhowmik
Findings of NAACL-HLT 2021, 2021
712021
InfyNLP at SMM4H Task 2: Stacked Ensemble of Shallow Convolutional Neural Networks for Identifying Personal Medication Intake from Twitter
J Friedrichs, D Mahata, S Gupta
Proceedings of the Second Workshop on Social Media Mining for Health …, 2017
67*2017
A Multimodal Approach to Predict Social Media Popularity
M Meghawat, S Yadav, D Mahata, Y  Yin, RR  Shah, R Zimmermann
Proceedings of 1st IEEE International Conference on Multimedia Information …, 2018
592018
A Preliminary Exploration of GANs for Keyphrase Generation
A Swaminathan, H Zhang, D Mahata, R Gosangi, R Shah, A Stent
EMNLP 2020, 8021-8030, 2020
56*2020
Detecting personal intake of medicine from twitter
D Mahata, J Friedrichs, RR Shah, J Jiang
IEEE intelligent systems 33 (4), 87-95, 2018
562018
# suicidal-A multipronged approach to identify and explore suicidal ideation in twitter
PP Sinha, R Mishra, R Sawhney, D Mahata, RR Shah, H Liu
CIKM 2019, 941-950, 2019
552019
Speak up, fight back! detection of social media disclosures of sexual harassment
AG Chowdhury, R Sawhney, P Mathur, D Mahata, RR Shah
NAACL-HLT 2019, 136-146, 2019
522019
# metooma: Multi-aspect annotations of tweets related to the metoo movement
A Gautam, P Mathur, R Gosangi, D Mahata, R Sawhney, RR Shah
ICWSM 2020 14, 209-216, 2020
512020
# YouToo? detection of personal recollections of sexual harassment on social media
AG Chowdhury, R Sawhney, R Shah, D Mahata
ACL 2019, 2527-2537, 2019
492019
Grouping the similar among the disconnected bloggers
N Agarwal, D Mahata
Social Media Mining and Social Network Analysis: Emerging Research: Emerging …, 2013
36*2013
Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings
JRT Debanjan Mahata, John Kuriakose, Rajiv Ratn Shah, Roger Zimmermann
arXiv preprint arXiv:1807.05962, 2018
31*2018
MIDAS at SemEval-2019 task 6: Identifying offensive posts and targeted offense from twitter
D Mahata, H Zhang, K Uppal, Y Kumar, R Shah, S Shahid, L Mehnaz, ...
Proceedings of the 13th International Workshop on Semantic Evaluation, 683-690, 2019
30*2019
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