h5-index is the h-index for articles published in the last 5 complete years. It is the largest number h such that h articles published in 2016-2020 have at least h citations each.hide
h5-median for a publication is the median number of citations for the articles that make up its h5-index.hide
Title / AuthorCited byYear
Analysis of named entity recognition and linking for tweets
L Derczynski, D Maynard, G Rizzo, M van Erp, G Gorrell, R Troncy, ...
Information Processing & Management 51 (2), 32-49
3112015
Contextual semantics for sentiment analysis of Twitter
H Saif, Y He, M Fernandez, H Alani
Information Processing & Management 52 (1), 5-19
2852016
Measuring user influence on Twitter: A survey
F Riquelme, P González-Cantergiani
Information Processing & Management 52 (5), 949-975
2522016
Sentiment, emotion, purpose, and style in electoral tweets
SM Mohammad, X Zhu, S Kiritchenko, J Martin
Information Processing & Management 51 (4), 480-499
1462015
Opinion mining from online hotel reviews–A text summarization approach
YH Hu, YL Chen, HL Chou
Information Processing & Management 53 (2), 436-449
1312017
Twitter sentiment analysis using hybrid cuckoo search method
AC Pandey, DS Rajpoot, M Saraswat
Information Processing & Management 53 (4), 764-779
1302017
MEANS: A medical question-answering system combining NLP techniques and semantic Web technologies
AB Abacha, P Zweigenbaum
Information Processing & Management 51 (5), 570-594
1132015
Analytical mapping of opinion mining and sentiment analysis research during 2000–2015
R Piryani, D Madhavi, VK Singh
Information Processing & Management 53 (1), 122-150
1082017
Creating value from Social Big Data: Implications for Smart Tourism Destinations
P Del Vecchio, G Mele, V Ndou, G Secundo
Information Processing & Management 54 (5), 847-860
1022018
Polarity shift detection, elimination and ensemble: A three-stage model for document-level sentiment analysis
R Xia, F Xu, J Yu, Y Qi, E Cambria
Information Processing & Management 52 (1), 36-45
952016
Detecting positive and negative deceptive opinions using PU-learning
DH Fusilier, M Montes-y-Gómez, P Rosso, RG Cabrera
Information Processing & Management 51 (4), 433-443
912015
A survey towards an integration of big data analytics to big insights for value-creation
MK Saggi, S Jain
Information Processing & Management 54 (5), 758-790
822018
On the impact of emotions on author profiling
F Rangel, P Rosso
Information Processing & Management 52 (1), 73-92
822016
On planning sightseeing tours with TripBuilder
IR Brilhante, JA Macedo, FM Nardini, R Perego, C Renso
Information Processing & Management 51 (2), 1-15
812015
Query strategies during information searching: Effects of prior domain knowledge and complexity of the information problems to be solved
S Monchaux, F Amadieu, A Chevalier, C Mariné
Information Processing & Management 51 (5), 557-569
802015
A survey on scholarly data: From big data perspective
S Khan, X Liu, KA Shakil, M Alam
Information Processing & Management 53 (4), 923-944
792017
Coupling learning of complex interactions
L Cao
Information Processing & Management 51 (2), 167-186
792015
Signaling sarcasm: From hyperbole to hashtag
F Kunneman, C Liebrecht, M van Mulken, A van den Bosch
Information Processing & Management 51 (4), 500-509
782015
Probabilistic topic modeling in multilingual settings: An overview of its methodology and applications
I Vulić, W De Smet, J Tang, MF Moens
Information Processing & Management 51 (1), 111-147
772015
Research patterns and trends of Recommendation System in China using co-word analysis
J Hu, Y Zhang
Information Processing & Management 51 (4), 329-339
772015
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Dates and citation counts are estimated and are determined automatically by a computer program.