Description: Provides functionalities based on the paper "Time Varying Dictionary and the Predictive Power of FED Minutes" (Lima, 2018) <doi:10.2139/ssrn.3312483>. It selects the most predictive terms, that we call time-varying dictionary using supervised machine learning techniques as lasso and elastic net.
Packaged: 2019-03-06 11:26:59 UTC; lucasgodeirolucas

Imports: stats, tidyr, tidytext, tm, wordcloud, dplyr, plyr, udpipe,
RColorBrewer, ggplot2, glmnet, pdftools, parallel, doParallel,
Packaged: 2019-09-20 18:02:57 UTC; lucasgodeirolucas

Imports: forecast, stats, tidyr, tidytext, tm, wordcloud, dplyr, plyr,
udpipe, RColorBrewer, ggplot2, glmnet, pdftools, parallel,

Authors@R: c(person("Conrado", "Reyes", email = "coreyes@gmail.com", role = c("aut", "cre")),
person("Purificacion", "Galindo", role = c("tch")))
Imports: tcltk, tkrplot, dplyr, tidyr, tidytext, tibble, tm, slam,
Suggests: SnowballC, readxl, jsonlite, parallel, ggrepel, ggpubr,
igraph, ggraph, ape, topicmodels, ca, corrr, data.table, knitr,
Description: Graphic interface for text analysis, implement a few methods such as biplots, correspondence analysis, co-occurrence, clustering, topic models, correlations and sentiments.

Imports: tcltk, dplyr, tidyr, tidytext, tibble, tm, slam, ggplot2,
Suggests: tkrplot, SnowballC, readxl, jsonlite, parallel, ggrepel,
ggpubr, igraph, ggraph, ape, topicmodels, ca, corrr,

Title: Predict continuous valued outputs associated with text
Description: Predict continuous valued outputs associated
with text documents. The input corpus of text documents
is transformed into a document-term matrix (DTM) and
then a regularized linear regression is fit that uses
this matrix as predictors to predict the continuous
valued output. The corpus's terms, coefficients for all
terms and an estimate of the model's predictive power
Packaged: 2011-10-30 21:17:49 UTC; johnmyleswhite

Description: Predict continuous valued outputs associated with text
documents. The input corpus of text documents is transformed
into a document-term matrix (DTM) and then a regularized linear
regression is fit that uses this matrix as predictors to
predict the continuous valued output. The corpus's terms,
coefficients for all terms and an estimate of the model's
predictive power are returned in a list.
Packaged: 2012-05-13 03:24:03 UTC; johnmyleswhite