centrality_data_harmony | Example data for plotting a Semantic Centrality Plot. |
DP_projections_HILS_SWLS_100 | Data for plotting a Dot Product Projection Plot. |
find_textrpp | Find text required python packages |
find_textrpp_env | Find text required python pacakges env |
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... |
raw_embeddings_1 | Word embeddings from textEmbedRawLayers function |
textCentrality | Compute semantic similarity score between single words' word... |
textCentralityPlot | Plot words according to semantic similarity to the aggregated... |
textClassify | Predict label and probability of a text using a pretrained... |
textDescriptives | Compute descriptive statistics of character variables. |
textDimName | Change the names of the dimensions in the word embeddings. |
textDistance | Compute the semantic distance between two text variables. |
textDistanceMatrix | Compute semantic distance scores between all combinations in... |
textDistanceNorm | Compute the semantic distance between a text variable and a... |
textEmbed | Extract layers and aggregate them to word embeddings, for all... |
textEmbedLayerAggregation | Select and aggregate layers of hidden states to form a word... |
textEmbedRawLayers | Extract layers of hidden states (word embeddings) for all... |
textEmbedReduce | Pre-trained dimension reduction (experimental) |
textEmbedStatic | Applies word embeddings from a given decontextualized static... |
textFineTuneDomain | Domain Adapted Pre-Training (EXPERIMENTAL - under... |
textFineTuneTask | Task Adapted Pre-Training (EXPERIMENTAL - under development) |
textGeneration | Predicts the words that will follow a specified text prompt.... |
textModelLayers | Get the number of layers in a given model. |
textModels | Check downloaded, available models. |
textModelsRemove | Delete a specified model and model associated files. |
textNER | Named Entity Recognition. (experimental) |
textPCA | Compute 2 PCA dimensions of the word embeddings for... |
textPCAPlot | Plot words according to 2-D plot from 2 PCA components. |
textPlot | Plot words from textProjection() or textWordPrediction(). |
textPredict | Trained models created by e.g., textTrain() or stored on... |
textPredictAll | Predict from several models, selecting the correct input |
textPredictTest | Significance testing correlations If only y1 is provided a... |
textProjection | Compute Supervised Dimension Projection and related variables... |
textProjectionPlot | Plot words according to Supervised Dimension Projection. |
textQA | Question Answering. (experimental) |
textrpp_initialize | Initialize text required python packages |
textrpp_install | Install text required python packages in conda or virtualenv... |
textrpp_uninstall | Uninstall textrpp conda environment |
textSimilarity | Compute the semantic similarity between two text variables. |
textSimilarityMatrix | Compute semantic similarity scores between all combinations... |
textSimilarityNorm | Compute the semantic similarity between a text variable and a... |
textSum | Summarize texts. (experimental) |
textTokenize | Tokenize according to different huggingface transformers |
textTopics | This function creates and trains a BERTopic model (based on... |
textTopicsReduce | textTopicsReduce (EXPERIMENTAL) |
textTopicsTest | This function tests the relationship between a single topic... |
textTopicsTree | textTopicsTest (EXPERIMENTAL) to get the hierarchical topic... |
textTopicsWordcloud | This functions plots wordclouds of topics from a Topic Model... |
textTrain | Train word embeddings to a numeric (ridge regression) or... |
textTrainLists | Individually trains word embeddings from several text... |
textTrainN | (experimental) Compute cross-validated correlations for... |
textTrainNPlot | (experimental) Plot cross-validated correlation coefficients... |
textTrainRandomForest | Train word embeddings to a categorical variable using random... |
textTrainRegression | Train word embeddings to a numeric variable. |
textTranslate | Translation. (experimental) |
textWordPrediction | Compute predictions based on single words for plotting words.... |
textZeroShot | Zero Shot Classification (Experimental) |
word_embeddings_4 | Word embeddings for 4 text variables for 40 participants |
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