DP_projections_HILS_SWLS_100
                        Data for plotting a Dot Product Projection
                        Plot.
Language_based_assessment_data_3_100
                        Example text and numeric data.
Language_based_assessment_data_8
                        Text and numeric data for 10 participants.
PC_projections_satisfactionwords_40
                        Example data for plotting a Principle Component
                        Projection Plot.
centrality_data_harmony
                        Example data for plotting a Semantic Centrality
                        Plot.
raw_embeddings_1        Word embeddings from textEmbedRawLayers
                        function
textCentrality          Semantic similarity score between single words'
                        and an aggregated word embeddings
textCentralityPlot      Plots words from textCentrality()
textClean               Cleans text from standard personal information
textCleanNonASCII       Clean non-ASCII characters
textDescriptives        Compute descriptive statistics of character
                        variables.
textDiagnostics         Run diagnostics for the text package
textDimName             Change dimension names
textDistance            Semantic distance
textDistanceMatrix      Semantic distance across multiple word
                        embeddings
textDistanceNorm        Semantic distance between a text variable and a
                        word norm
textDomainCompare       Compare two language domains
textEmbed               textEmbed() extracts layers and aggregate them
                        to word embeddings, for all character variables
                        in a given dataframe.
textEmbedLayerAggregation
                        Aggregate layers
textEmbedRawLayers      Extract layers of hidden states
textEmbedReduce         Pre-trained dimension reduction (experimental)
textEmbedStatic         Apply static word embeddings
textExamples            Identify language examples.
textFindNonASCII        Detect non-ASCII characters
textFineTuneDomain      Domain Adapted Pre-Training (EXPERIMENTAL -
                        under development)
textFineTuneTask        Task Adapted Pre-Training (EXPERIMENTAL - under
                        development)
textGeneration          Text generation
textLBAM                The LBAM library
textModelLayers         Number of layers
textModels              Check downloaded, available models.
textModelsRemove        Delete a specified model
textNER                 Named Entity Recognition. (experimental)
textPCA                 textPCA()
textPCAPlot             textPCAPlot
textPlot                Plot words
textPredict             textPredict, textAssess and textClassify
textPredictAll          Predict from several models, selecting the
                        correct input
textPredictTest         Significance testing for model prediction
                        performance
textProjection          Supervised Dimension Projection
textProjectionPlot      Plot Supervised Dimension Projection
textQA                  Question Answering. (experimental)
textSimilarity          Semantic Similarity
textSimilarityMatrix    Semantic similarity across multiple word
                        embeddings
textSimilarityNorm      Semantic similarity between a text variable and
                        a word norm
textSum                 Summarize texts. (experimental)
textTokenize            Tokenize text-variables
textTokenizeAndCount    Tokenize and count
textTopics              BERTopics
textTopicsReduce        textTopicsReduce (EXPERIMENTAL)
textTopicsTest          Wrapper for topicsTest function from the topics
                        package
textTopicsTree          textTopicsTest (EXPERIMENTAL) to get the
                        hierarchical topic tree
textTopicsWordcloud     Plot word clouds
textTrain               Trains word embeddings
textTrainLists          Train lists of word embeddings
textTrainN              Cross-validated accuracies across sample-sizes
textTrainNPlot          Plot cross-validated accuracies across sample
                        sizes
textTrainRandomForest   Trains word embeddings usig random forest
textTrainRegression     Train word embeddings to a numeric variable.
textTranslate           Translation. (experimental)
textZeroShot            Zero Shot Classification (Experimental)
textrpp_initialize      Initialize text required python packages
textrpp_install         Install text required python packages in conda
                        or virtualenv environment
textrpp_uninstall       Uninstall textrpp conda environment
word_embeddings_4       Word embeddings for 4 text variables for 40
                        participants
