Lin's Data Mining Papers
Share papers related with text mining, social network analysis.
Joint modeling of topic embedding and network embedding! Interested?ðĪŠðððð
Read the paper in WSDM 2020, "JNET: Learning User Representations via Joint Network Embedding and Topic Embedding."
[pdf]:http://cs.virginia.edu/~lg5bt/files/wsdm2020.pdf
[git]:https://github.com/Linda-sunshine/JNET
Check the intutive video for the work published in KDD 2018!ðĪĢ
"When Sentiment Analysis Meets Social Network:
A Holistic User Behavior Modeling in Opinionated Data".
ððĪĢðĪĐðĪðI promise it is fun!!! :-)ððĪĢðĪĐðĪð
[pdf]:http://cs.virginia.edu/~lg5bt/files/kdd2018.pdf
[git]: https://github.com/Linda-sunshine/HUB
[data]: http://www.cs.virginia.edu/~lg5bt/files/hub_data.zip
[youtube]:https://www.youtube.com/watch?v=cINWRelDPYg&fbclid=IwAR2bxgU1MfOBRXT90QliuuVYylWubWKonv1EF6UIH-f3Inc8_BiGGKsfFII
Learn about opinion consistency among people by reading the paper published in WWW 2017. "Clustered Model Adaptation for Personalized Sentiment Analysis".ðĪŠðĪŠðĪŠðĪŠðĪŠ
[pdf]:http://www.cs.virginia.edu/~lg5bt/files/www2017.pdf
[doc]: http://www.cs.virginia.edu/~lg5bt/clinadapt_html/index.html
Check out the work of using multi-task to realize different users' diverse ways of expressing opinions, published in ACL 2016.ððððððð
"Modeling Social Norms Evolution for Personalized Sentiment Classification".
[pdf]:http://www.cs.virginia.edu/~lg5bt/files/acl2016.pdf
[doc]: http://www.cs.virginia.edu/~lg5bt/mtlinadapt_html/index.html