Language of social media: from hashtags to question topics.

Speaker:  Animesh Mukherjee – Kharagpur, India
Topic(s):  Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science


In this talk I shall outline a summary of our four years long initiative studying the popularity dynamics of various human language-like entities over the social media. Some of the topics that I plan to cover are (a) how hashtags in Twitter form compounds like natural language words (e.g., milk+man=milkman) that become way more popular then the individual constituent hashtags [CSCW 2016, Honorable Mention], (b) how conversational hashtags (aka idioms) like #4thingsbeforebreakup, #threethingsIlike etc. spread and become popular in Twitter [ICWSM 2015] (c) how question topics in community QA forums like Quora [ICWSM 2015] become popular over time (d) how borrowed words can be automatically extracted from Hindi-English code-mixed tweets.

About this Lecture

Number of Slides:  60-65
Duration:  150 minutes
Languages Available:  English
Last Updated: 

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