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Projects: cran: BTM

https://packages.ecosyste.ms/registries/cran.r-project.org/packages/BTM

Biterm Topic Models for Short Text
9 versions
Latest release: over 3 years ago
2 dependent packages
606 downloads last month

Enhanced Analysis
Repository Activity:
Repository Owner: bnosac (organization)
open sourced projects Institutional
README Analysis:
Science Score: 100/100
Starting Score: 100 points
Bonuses:
  • +15 Institutional repository owner
    Repository owned by research institution
  • +10 Science terms in README
    5 scientific terms found in README
Penalties:
  • -15 No science keywords
    No scientific terms found in keywords/classifiers
  • -10 No science terms in description
    No scientific terms found in description
Very Likely Science (100)

Papers Mentioning BTM 5

10.1186/s13104-021-05719-0
Characterizing alternative and emerging tobacco product transition of use behavior on Twitter
Cited by: 3
Author(s): Cortni Bardier, Joshua Yang, Jiawei Li, Tim K. Mackey
Software Mentions: 2
Published: almost 5 years ago
10.1371/journal.pone.0235150
Identification and characterization of tweets related to the 2015 Indiana HIV outbreak: A retrospective infoveillance study
Cited by: 11
Author(s): Mingxiang Cai, Neal Shah, Jiawei Li, Wen‐Hao Chen, Raphael Cuomo, Nick Obradovich, Tim K. Mackey
Software Mentions: 2
Published: almost 6 years ago
10.3390/s18051596
An Energy Balanced and Lifetime Extended Routing Protocol for Underwater Sensor Networks
Cited by: 24
Author(s): Hao Wang, Shilian Wang, Zhang Er-yang, Luxi Lu
Software Mentions: 2
Published: about 8 years ago
10.3390/ijms21124508
A Comparative Study of Engineered Dermal Templates for Skin Wound Repair in a Mouse Model
Cited by: 13
Author(s): Ilia Banakh, Perdita Anne Cheshire, Mostafizur Rahman, Irena Carmichael, Premlatha Jagadeesan, Neil R. Cameron, Heather Cleland, Shiva Akbarzadeh
Software Mentions: 2
Published: almost 6 years ago
10.2196/10029
Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access
Cited by: 63
Author(s): Tim K. Mackey, Janani Kalyanam, Josh Klugman, Ella Kuzmenko, Rashmi Gupta
Software Mentions: 2
Published: about 8 years ago