Subhabrata Mukherjee
Subhabrata Mukherjee
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Where the truth lies: Explaining the credibility of emerging claims on the web and social media
K Popat, S Mukherjee, J Strötgen, G Weikum
WWW 2017, 1003-1012, 2017
1202017
People on Drugs: Credibility of User Statements in Health Communities
S Mukherjee, G Weikum, C Danescu-Niculescu-Mizil
KDD 2014, 2014
1092014
Feature specific sentiment analysis for product reviews
S Mukherjee, P Bhattacharyya
Part 1, Lecture Notes in Computer Science, Springer 7181:475– 487, 475-487, 2012
1052012
Sentiment Analysis in Twitter with Lightweight Discourse Analysis
S Mukherjee, P Bhattacharyya
In Proceedings of COLING 2012, 2012
1032012
Credibility assessment of textual claims on the web
K Popat, S Mukherjee, J Strötgen, G Weikum
CIKM 2016, 2173-2178, 2016
902016
Leveraging joint interactions for credibility analysis in news communities
S Mukherjee, G Weikum
CIKM 2015, 353-362, 2015
712015
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
K Popat, S Mukherjee, A Yates, G Weikum
EMNLP 2018, 2018
642018
Sentiment Aggregation using ConceptNet Ontology
S Mukherjee, S Joshi
IJCNLP 2013, 2013
532013
TwiSent: a multistage system for analyzing sentiment in twitter
S Mukherjee, A Malu, B AR, P Bhattacharyya
CIKM 2012, 2531-2534, 2012
502012
Sentiment analysis: A literature survey
S Mukherjee, P Bhattacharyya
arXiv preprint arXiv:1304.4520, 2013
482013
OpenTag: Open Attribute Value Extraction from Product Profiles [Deep Learning, Active Learning, Named Entity Recognition]
G Zheng, S Mukherjee, XL Dong, F Li
SIGKDD 2018, 2018
41*2018
Joint author sentiment topic model
S Mukherjee, S Basu, Gaurab, Joshi
SIAM Data Mining (SDM 2014), 2014
352014
Wikisent: Weakly supervised sentiment analysis through extractive summarization with wikipedia
S Mukherjee, P Bhattacharyya
ECML 2012, 774-793, 2012
232012
Incorporating author preference in sentiment rating prediction of reviews
S Mukherjee, G Basu, S Joshi
WWW 2013, 47-48, 2013
222013
CredEye: A Credibility Lens for Analyzing and Explaining Misinformation
K Popat, S Mukherjee, J Strötgen, G Weikum
WWW 2018, 2018
192018
Credible Review Detection with Limited Information using Consistency Features
S Mukherjee, S Dutta, G Weikum
ECML 2016, 2016
18*2016
Author-Specific Sentiment Aggregation for Polarity Prediction of Reviews
S Mukherjee, S Joshi
LREC 2014, 2014
172014
Experience-aware item recommendation in evolving review communities
S Mukherjee, H Lamba, G Weikum
Data Mining (ICDM), 2015 IEEE International Conference on, 925-930, 2015
152015
Exploring Latent Semantic Factors to Find Useful Product Reviews
S Mukherjee, K Popat, G Weikum
2017 SIAM International Conference on Data Mining (SDM), 2017
142017
Domain cartridge: Unsupervised framework for shallow domain ontology construction from corpus
S Mukherjee, J Ajmera, S Joshi
CIKM 2014, 929-938, 2014
112014
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