Showing 4 of total 4 results (show query)
koheiw
seededlda:Seeded Sequential LDA for Topic Modeling
Seeded Sequential LDA can classify sentences of texts into pre-define topics with a small number of seed words (Watanabe & Baturo, 2023) <doi:10.1177/08944393231178605>. Implements Seeded LDA (Lu et al., 2010) <doi:10.1109/ICDMW.2011.125> and Sequential LDA (Du et al., 2012) <doi:10.1007/s10115-011-0425-1> with the distributed LDA algorithm (Newman, et al., 2009) for parallel computing.
Maintained by Kohei Watanabe. Last updated 2 months ago.
semi-supervised-learningtext-classificationonetbbcpp
75 stars 7.38 score 177 scripts 1 dependents
juba
rainette:The Reinert Method for Textual Data Clustering
An R implementation of the Reinert text clustering method. For more details about the algorithm see the included vignettes or Reinert (1990) <doi:10.1177/075910639002600103>.
Maintained by Julien Barnier. Last updated 11 months ago.
text-analysistext-classificationcpp
55 stars 6.90 score 24 scripts
massimoaria
tall:Text Analysis for All
An R 'shiny' app designed for diverse text analysis tasks, offering a wide range of methodologies tailored to Natural Language Processing (NLP) needs. It is a versatile, general-purpose tool for analyzing textual data. 'tall' features a comprehensive workflow, including data cleaning, preprocessing, statistical analysis, and visualization, all integrated for effective text analysis.
Maintained by Massimo Aria. Last updated 13 days ago.
r-shinytext-analysis-and-sentiment-analysistext-classificationtext-miningtextual-analysiscpp
15 stars 5.15 score
mkearney
wactor:Word Factor Vectors
A user-friendly factor-like interface for converting strings of text into numeric vectors and rectangular data structures.
Maintained by Michael W. Kearney. Last updated 5 years ago.
texttext-classificationtext-processingtext-vectorizationword-embeddingsword-vectorsword2vec
33 stars 4.52 score 3 scripts