Multilingual Text Mining
It’s on short notice but absolutely worth attending!
This week’s out-of-date Pantalk in cooperation with the Impact Hub Zurich.
We’ll be hosting Rohini Srihari, a professor at the Department of Computer Science and Engineering University at Buffalo, The State University of New York who is specialized in the areas of artificial intelligence, multimedia information retrieval, computational linguistics and text mining.
She is an author of over 150 papers in computer science, including two US patents, which are well-cited (h-index > 30) and supervised ten doctoral dissertations. Most recently she has been writing technology articles for the general public, e.g., internet of everything, personalized marketing, etc.
Rohini Srihari will be talking about Multilingual Text Mining:
With the exponential rise in use of social media throughout the world, there is a compelling need for efficient and flexible approaches to multilingual natural processing technology. Traditional approaches involving multiphase syntactic and syntactic processing do not scale up for this new environment that reflect phenomena such as adhoc transliteration schemes and code switching. This talk will present various techniques for mining multilingual social media, or “worldspeak” as we refer to it.
Rohini Srihari’s Bio: https://cedar.buffalo.edu/~rohini/