Man pages for OscarKjell/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_env | Find text required python packages 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 | Semantic similarity score between single words' and an... |
| textCentralityPlot | Plots words from textCentrality() |
| textClean | Cleans text from standard personal information |
| textCleanNonASCII | Clean non-ASCII characters |
| textCleanNonASCIIinfo | Clean non-ASCII characters |
| textDescriptives | Compute descriptive statistics of character variables. |
| 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... |
| textEmbedLayerAggregation | Aggregate layers |
| textEmbedRawLayers | Extract layers of hidden states |
| textEmbedReduce | Pre-trained dimension reduction (experimental) |
| textEmbedStatic | Apply static word embeddings |
| textFindNonASCII | Detect non-ASCII characters |
| textFineTuneDomain | Domain Adapted Pre-Training (EXPERIMENTAL - under... |
| 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 correlations If only y1 is provided a... |
| textProjection | Supervised Dimension Projection |
| textProjectionPlot | Plot 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 | 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... |
| textTopicsWordcloud | Plot word clouds |
| textTrain | Trains word embeddings |
| textTrainExamples | Show language examples (Experimental) |
| 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) |
| word_embeddings_4 | Word embeddings for 4 text variables for 40 participants |
