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alexchristensen
SemNeT:Methods and Measures for Semantic Network Analysis
Implements several functions for the analysis of semantic networks including different network estimation algorithms, partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation (Kenett & Austerweil, 2016 <http://alab.psych.wisc.edu/papers/files/Kenett16CreativityRW.pdf>), and a function to compute global network measures. Significance tests and plotting features are also implemented.
Maintained by Alexander P. Christensen. Last updated 2 years ago.
68.1 match 23 stars 4.51 score 28 scriptsalexchristensen
SemNetCleaner:An Automated Cleaning Tool for Semantic and Linguistic Data
Implements several functions that automates the cleaning and spell-checking of text data. Also converges, finalizes, removes plurals and continuous strings, and puts text data in binary format for semantic network analysis. Uses the 'SemNetDictionaries' package to make the cleaning process more accurate, efficient, and reproducible.
Maintained by Alexander P. Christensen. Last updated 3 years ago.
preprocessingsemantic-network-analysis
34.0 match 10 stars 6.16 score 48 scripts 1 dependentsalexchristensen
SemNetDictionaries:Dictionaries for the 'SemNetCleaner' Package
Implements dictionaries that can be used in the 'SemNetCleaner' package. Also includes several functions aimed at facilitating the text cleaning analysis in the 'SemNetCleaner' package. This package is designed to integrate and update word lists and dictionaries based on each user's individual needs by allowing users to store and save their own dictionaries. Dictionaries can be added to the 'SemNetDictionaries' package by submitting user-defined dictionaries to <https://github.com/AlexChristensen/SemNetDictionaries>.
Maintained by Alexander P. Christensen. Last updated 3 years ago.
dictionariessemantic-network-analysis
20.5 match 4 stars 5.08 score 3 scripts 2 dependents