Robot | Path | Permission |
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Title | Michael J. Paul - |
Description | Michael J. Paul Assistant Professor Department of Information Science University of Colorado Boulder Contact: --> Office: TLC 119 Email: Google Scholar |
Keywords | N/A |
WebSite | michaeljpaul.com |
Host IP | 162.213.253.54 |
Location | United States |
Site | Rank |
US$1,194
Last updated: 2023-05-20 08:33:09
michaeljpaul.com has Semrush global rank of 0. michaeljpaul.com has an estimated worth of US$ 1,194, based on its estimated Ads revenue. michaeljpaul.com receives approximately 137 unique visitors each day. Its web server is located in United States, with IP address 162.213.253.54. According to SiteAdvisor, michaeljpaul.com is safe to visit. |
Purchase/Sale Value | US$1,194 |
Daily Ads Revenue | US$1 |
Monthly Ads Revenue | US$33 |
Yearly Ads Revenue | US$396 |
Daily Unique Visitors | 9 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
michaeljpaul.com. | A | 1200 | IP: 162.213.253.54 |
michaeljpaul.com. | NS | 86400 | NS Record: dns1.namecheaphosting.com. |
michaeljpaul.com. | NS | 86400 | NS Record: dns2.namecheaphosting.com. |
michaeljpaul.com. | MX | 1200 | MX Record: 0 mail.michaeljpaul.com. |
michaeljpaul.com. | TXT | 1200 | TXT Record: v=spf1 ip4:162.213.253.32 ip4:162.213.253.56 include:spf.web-hosting.com +a +mx +ip4:162.213.253.52 +ip4:162.213.253.54 ~all |
Michael J. Paul Assistant Professor Department of Information Science University of Colorado Boulder Contact: --> Office: TLC 119 Email: Google Scholar | GitHub | LinkedIn I am a founding faculty member in the new Information Science department in the College of Media, Communication, and Information at CU-Boulder (see: CU vs. UC ). I received a Ph.D. in Computer Science from Johns Hopkins University in 2015, and a B.S. in Computer Science from the University of Illinois at Urbana-Champaign in 2009. See my CV . My research is at the intersection of text analysis and health/social science. On the methodological side, I research machine learning and natural language processing , and in particular I develop methods in topic modeling , which I use to discover patterns in large text datasets. On the applied side, I study social media to learn about human behavior, especially in the context of public health . I am no longer in academia as of May 2020. I am not currently responding to |
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