Animesh Mukherjee is an Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur. He is also a Simons Associate, ICTP, Italy and an ACM Distinguished Speaker. His main research interests are in applying complex system approaches (mainly complex networks and agent-based simulations) to different problems in Computer Science including
(a) human language evolution and change,
(b) web social media,
(c) information retrieval, and
(d) natural language processing
He regularly publishes in top conferences like ACM SIGKDD, ACM CIKM, ACM CSCW, ICWSM, ACL, EMNLP, COLING, ACM/IEEE JCDL and journals like PNAS, Sci Reports, ACM TKDD, ACM CACM, IEEE TKDE, IEEE JSAC, Phys. Rev, Europhysics Letters. He regularly serves on the programme committee of various top conferences like IJCAI, EMNLP, COLING. He has received many notable awards including the INAE Young Engineer Award 2012, INSA Medal for Young Scientists 2014, IBM Faculty Award 2015 and the Humboldt Fellowship for Experienced Researchers in 2017.

AG 1, AG 2, AG 3, INET, AG 4, AG 5, SWS, RG1, MMCI   Info

AG Audience

English

60 Minutes

Kaiserslautern

In this talk I shall outline a summary of our five year long initiative studying the temporal dynamics of various human language-like entities over the social media. Some of the topics that I plan to cover are (a)  how opinion conflicts could be effectively used for incivility detection in Twitter [CSCW 2018], (b) how word borrowings can be automatically identified from social signals [EMNLP 2017] and (c)  how hashtags in Twitter form compounds like natural language words (e.g., #Wikipedia+#Blackout=#WikipediaBlackout) that become way more popular than the individual constituent hashtags [CSCW 2016, Honorable Mention].

Susanne Girard

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Yes

Saarbrücken

E1 5

105

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