Man pages for text
Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning
| 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... |
| 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 | Predict scores or classification from, e.g., textTrain. |
| 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 |
| textTrain | Train word embeddings to a numeric (ridge regression) or... |
| textTrainLists | Individually trains word embeddings from several text... |
| 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 |
