论文信息 - Tweet Classification Using Deep Learning Approach to Predict Sensitive Personal Data - 字舞流文

Tweet Classification Using Deep Learning Approach to Predict Sensitive Personal Data

S. Karthika | S. Mohanavalli | R. Geetha | S. Karthika | R. Geetha | S. Mohanavalli

[1] Qi Li,et al. Privacy Information Security Classification for Internet of Things Based on Internet Data , 2015, Int. J. Distributed Sens. Networks.

[2] Blase Ur,et al. "i read my Twitter the next morning and was astonished": a conversational perspective on Twitter regrets , 2013, CHI.

[3] Bo Luo,et al. Content-Based Classification of Sensitive Tweets , 2017, Int. J. Semantic Comput..

[4] Shion Guha,et al. Regrets, I've Had a Few: When Regretful Experiences Do (and Don't) Compel Users to Leave Facebook , 2018, GROUP.

[5] Hosung Park,et al. What is Twitter, a social network or a news media? , 2010, WWW '10.

[6] Fermín L. Cruz,et al. Tweet categorization by combining content and structural knowledge , 2016, Inf. Fusion.

[7] T. Grance,et al. SP 800-122. Guide to Protecting the Confidentiality of Personally Identifiable Information (PII) , 2010 .

[8] Yang Wang,et al. "I regretted the minute I pressed share": a qualitative study of regrets on Facebook , 2011, SOUPS.

[9] Ying Tan,et al. Variational Autoencoder for Semi-Supervised Text Classification , 2017, AAAI.

[10] Xin Shuai,et al. Loose tweets: an analysis of privacy leaks on twitter , 2011, WPES.