Aastha Nigam

Data Mining | Machine Learning | Natural Language Processing | Computational Social Science

[Nitesh Chawla @nvchawla]

Congratulations to the new PhDs @DIAL_ND. Two head to industry and two to academic jobs (medical and business schools). Brings @DIAL_ND PhD graduates to 20 in last 12 years. Grateful to have had a chance to work with such amazing students. #NDResearch

[Nitesh Chawla @nvchawla]

.⁦@aasthanigam⁩ defending her PhD ⁦dissertation @DIAL_ND⁩ ⁦@iCeNSA⁩ #ndresearch

[WiML @WiMLworkshop]

Since 2015, we've been profiling the research and accomplishments of women in #machinelearning. Now, all these profiles are compiled in one place. Read them here and stay tuned for more! https://t.co/YI8IYCkqEN
#WiMLprofiles #AI #ML

[Mihajlo Grbovic @miha_jlo]

I just published a blog post about how we use Embeddings for Home Recommendations and Real-time Personalization in Search at Airbnb. @AirbnbData #MachineLearning #DataScience Hope you like it! https://t.co/VPhtiuwamQ

[Keith Feldman @KeithFeldman3]

Check out our latest work on identifying survey question sets to target an individual’s need for specific community #health interventions. From my time at @IBMResearch

https://t.co/eel0Gqncco

#informatics @iCeNSA

[Aastha Nigam @aasthanigam]

@kentonmurray Congratulations!

[Aastha Nigam @aasthanigam]

@ClaireMKBowen Congratulations!

[UW NLP @uwnlp]

Deep contextualized word representations https://t.co/W5adFuDxnP @LukeZettlemoyer @kentonctlee

[Kiran Garimella @gvrkiran]

I have a PhD now!! Here's my thesis titled 'Polarization on Social Media' https://t.co/J7iueOzGRy

We try to understand polarization on social media -- develop algorithms to identify, track polarized topics over time, and finally design techniques to help reduce polarization.

[Sal Aguiñaga @abitofalchemy]

https://t.co/9DrrCyEo8L

[Nando de Freitas @NandoDF]

Why do we label emotions as positive and negative? It’s unsatisfactory that such a key component of cognition is modelled with such a crass binary classifier. In AI we need to get more serious about this.

[Notre Dame Research @UNDResearch]

New #NDResearch led by @nvchawla reveals #socialmedia as an effective tool for predicting #election outcomes. Study finds #Twitter highlights polarization of #voter opinion more adequately than traditional polls: https://t.co/vvJW7nmsBq

[Aastha Nigam @aasthanigam]

@edchi Would love to chat!

[Mounia Lalmas @mounialalmas]

Our #wsdm2018 Tutorial on metrics of user engagement -- Applications to Search & E- commerce with @hongliangjie ... The slides availlable at https://t.co/l66jnr96m3 ... feedbacks and comment welcome.

[Ilya Sutskever @ilyasut]

The ML wish of 2018: may all your local minima be global, your variance bounded, your labelled data plentiful, and your compute massive!

[@BigData_Journal @BigData_Journal]

"Harvesting Social Signals to Inform Peace Processes Implementation and Monitoring"
READ NOW: https://t.co/naxw8KZL0H
#BigData #DataScience #PredictiveAnalytics #SocialMedia

[Nitesh Chawla @nvchawla]

We can harvest social signals to inform peace processes and implementation. See our new work in @BigData_Journal.
https://t.co/VL7NHp39EH
#bigdata #politics #socialgood #NDResearch

[Keith Feldman @KeithFeldman3]

Successfully applying machine learning to problems in #healthcare will require more than the ability to execute models.

Check out our latest work discussing the challenges of preprocessing, modeling, and evaluating healthcare data.
https://t.co/aoXNn2mLmY
#informatics @iCeNSA

[Nitesh Chawla @nvchawla]

congratulations to Aastha for winning 2nd prize at ACM Student Research Competition at GHC'17 @iCeNSA #NDResearch

https://t.co/DKJY4IQLqB

[Notre Dame CSE @ND_CSE]

Notre Dame PR on @aasthanigam's ACM Research prize: 🙌 https://t.co/krItxse3yU