stylo0.7.5 package

Assign colors to samples

Change character encoding

Check character encoding in corpus folder

Machine-learning supervised classification

Function to Perform Cross-Validation

Define area for scatterplots

Delete HTML or XML tags

Exclude stop words (e.g. pronouns, particles, etc.) from a dataset

Cosine Distance

Delta Distance

Entropy Distance

Min-Max Distance (aka Ruzicka Distance)

Cosine Distance

Cosine Delta Distance (aka Wurzburg Distance)

GUI for the function classify

GUI for the function oppose

GUI for stylo

Tuning Parameters for the Imposters Method

Authorship Verification Classifier Known as the Imposters Method

Load text files and perform pre-processing

Load text files

Make List of the Most Frequent Elements (e.g. Words)

Make text n-grams

Split text to samples

Prepare a table of (relative) word frequencies

Contrastive analysis of texts

Perform pre-processing (tokenization, n-gram extracting, etc.)

Extract POS-tags or Words from Annotated Corpora

Exclude variables (e.g. words, n-grams) from a frequency table that ar...

Distance-based classifier

An Authorship Verification Classifier Known as the Impostors Method. A...

k-Nearest Neighbor classifier

Naive Bayes classifier

Nearest Shrunken Centroids classifier

Support Vector Machines classifier

Accuracy, Precision, Recall, and the F Measure

Plot Classification Accuracy for Short Text Samples

Sequential machine-learning classification

Sequential stylometric analysis

Determining Minimal Sample Size for Text Classification

Setting variables for the package stylo

Bootstrap consensus networks, with D3 visualization

List of pronouns

Stylometric multidimensional analyses

Split string of words or other countable features

Split text into words: extended version

Split text into words

Compare two subcorpora using a home-brew variant of Craig's Zeta

Compare two subcorpora using Craig's Zeta

Compare two subcorpora using Eder's Zeta