Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Link opens in a new tab
Search content at Illinois Experts
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Fine Grained Categorization of Drug Usage Tweets
Priyanka Dey
,
Cheng Xiang Zhai
Statistics
School of Information Sciences
Carl R. Woese Institute for Genomic Biology
Siebel School of Computing and Data Science
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Fine Grained Categorization of Drug Usage Tweets'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Tweets
100%
Fine-grained Visual Categorization
100%
Drug Users
66%
United States
33%
Early Intervention
33%
Social Media Sites
33%
Further Analysis
33%
Virtual Environment
33%
Early Detection
33%
Application-oriented
33%
Feature-based
33%
Classification System
33%
Social Media
33%
Similar Problem
33%
New Dataset
33%
Social Media Use
33%
Analysis Error
33%
Downstream Applications
33%
Classification Score
33%
Analysis Content
33%
Fine-grained Category
33%
NLP Techniques
33%
Drug Overdose
33%
Drug Usage
33%
Categorization Method
33%
Drug Misuse
33%
Engineering
Early Detection
100%
Virtual Reality
100%
Past Decade
100%
United States
100%
Computer Science
Social Medium Site
100%
Virtual Environments
100%
Content Analysis
100%
Early Detection
100%
Mathematics
Drug User
100%
Error Analysis
50%
Past Decade
50%