Plugin that runs the analyses described in Vine, Boyd, & Pennebaker (2020). See also: Vocabulate (https://github.com/ryanboyd/Vocabulate)

Plugin to evaluate the statistical properties of a text analysis dictionary. Gives Mean and Standard Deviations for each word, plus internal consistency metrics for each category.

Frequency-based content coding, like that found in LIWC.

Plugin that contains stop lists and will remove tokens from a text before carrying forward

Plugin to lemmatize based on pre-defined lists. At the time of writing this description, the lists used are primarily from https://github.com/michmech/lemmatization-lists

Plugin to calculate Narrative Arc scores. See https://www.arcofnarrative.com/ and the research paper at https://www.doi.org/10.1126/sciadv.aba2196

Plugin for analyzing texts via a weighted dictionary.

Plugin that wraps around the VADER sentiment analysis method (specifically, the VADER Sharp implementation).

Plugin to do sentiment analysis on a sentence-by-sentence basis. Built around CoreNLP.NET (https://sergey-tihon.github.io/Stanford.NLP.NET/StanfordCoreNLP.html)

Plugin that does Part Of Speech Tagging, built around CoreNLP.NET (https://sergey-tihon.github.io/Stanford.NLP.NET/StanfordCoreNLP.html)