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| add_collocation_label | Choose and add collocation strings based on collocation categories |
| as.tcorpus | Force an object to be a tCorpus class |
| as.tcorpus.default | Force an object to be a tCorpus class |
| as.tcorpus.tCorpus | Force an object to be a tCorpus class |
| backbone_filter | Extract the backbone of a network. |
| calc_chi2 | Compute the chi^2 statistic for a 2x2 crosstab containing the values [a, b] [c, d] |
| code_features | Code features in a tCorpus based on a search string |
| compare_corpus | Compare tCorpus vocabulary to that of another (reference) tCorpus |
| compare_documents | Calculate the similarity of documents |
| compare_subset | Compare vocabulary of a subset of a tCorpus to the rest of the tCorpus |
| context | Get a context vector |
| corenlp_tokens | coreNLP example sentences |
| create_tcorpus | Create a tCorpus |
| create_tcorpus.character | Create a tCorpus |
| create_tcorpus.data.frame | Create a tCorpus |
| create_tcorpus.factor | Create a tCorpus |
| deduplicate | Deduplicate documents |
| delete_columns | Delete column from the data and meta data |
| delete_meta_columns | Delete column from the data and meta data |
| docfreq_filter | Support function for subset method |
| dtm.tCorpus | Create a document term matrix |
| dtm_compare | Compare two document term matrices |
| dtm_wordcloud | Plot a word cloud from a dtm |
| ego_semnet | Create an ego network |
| feature_associations | Get common nearby terms given a feature query |
| feature_stats | Feature statistics |
| feature_subset | Filter features |
| freq_filter | Support function for subset method |
| get | Access the data from a tCorpus |
| get_global_i | Compute global feature positions |
| get_meta | Access the data from a tCorpus |
| get_stopwords | Get a character vector of stopwords |
| kwic | Get keyword-in-context (KWIC) strings |
| laplace | Laplace (i.e. add constant) smoothing |
| lda_fit | Estimate a LDA topic model |
| merge_tcorpora | Merge tCorpus objects |
| plot.vocabularyComparison | visualize vocabularyComparison |
| plot_semnet | Visualize a semnet network |
| plot_words | Plot a wordcloud with words ordered and coloured according to a dimension (x) |
| preprocess | Preprocess feature |
| preprocess_tokens | Preprocess tokens in a character vector |
| print.contextHits | S3 print for contextHits class |
| print.featureHits | S3 print for featureHits class |
| print.tCorpus | S3 print for tCorpus class |
| read_text | Print tokens as text |
| refresh_tcorpus | Refresh a tCorpus object using the current version of corpustools |
| search_contexts | Search for documents or sentences using Boolean queries |
| search_features | Find tokens using a Lucene-like search query |
| search_recode | Recode features in a tCorpus based on a search string |
| semnet | Create a semantic network based on the co-occurence of tokens in documents |
| semnet_window | Create a semantic network based on the co-occurence of tokens in token windows |
| set | Modify the token and meta data.tables of a tCorpus |
| set_levels | Change levels of factor columns |
| set_meta | Modify the token and meta data.tables of a tCorpus |
| set_meta_levels | Change levels of factor columns |
| set_meta_name | Change column names of data and meta data |
| set_name | Change column names of data and meta data |
| set_network_attributes | Set some default network attributes for pretty plotting |
| sgt | Simple Good Turing smoothing |
| sotu_texts | State of the Union addresses |
| stopwords_list | Basic stopword lists |
| subset | Subset a tCorpus |
| subset_meta | Subset a tCorpus |
| subset_query | Subset tCorpus token data using a query |
| summary.contextHits | S3 summary for contextHits class |
| summary.featureHits | S3 summary for featureHits class |
| summary.tCorpus | Summary of a tCorpus object |
| tCorpus | tCorpus: a corpus class for tokenized texts |
| tcorpus | tCorpus: a corpus class for tokenized texts |
| tCorpus$code_features | Code features in a tCorpus based on a search string |
| tCorpus$compare_corpus | Compare tCorpus vocabulary to that of another (reference) tCorpus |
| tCorpus$compare_documents | Calculate the similarity of documents |
| tCorpus$compare_subset | Compare vocabulary of a subset of a tCorpus to the rest of the tCorpus |
| tCorpus$context | Get a context vector |
| tCorpus$deduplicate | Deduplicate documents |
| tCorpus$delete_columns | Delete column from the data and meta data |
| tCorpus$delete_meta_columns | Delete column from the data and meta data |
| tCorpus$dtm | Create a document term matrix |
| tCorpus$feature_associations | Get common nearby terms given a feature query |
| tCorpus$feature_stats | Feature statistics |
| tCorpus$feature_subset | Filter features |
| tCorpus$get | Access the data from a tCorpus |
| tCorpus$get_meta | Access the data from a tCorpus |
| tCorpus$kwic | Get keyword-in-context (KWIC) strings |
| tCorpus$lda_fit | Estimate a LDA topic model |
| tCorpus$preprocess | Preprocess feature |
| tCorpus$read_text | Print tokens as text |
| tCorpus$search_contexts | Search for documents or sentences using Boolean queries |
| tCorpus$search_features | Find tokens using a Lucene-like search query |
| tCorpus$search_recode | Recode features in a tCorpus based on a search string |
| tCorpus$semnet | Create a semantic network based on the co-occurence of tokens in documents |
| tCorpus$semnet_window | Create a semantic network based on the co-occurence of tokens in token windows |
| tCorpus$set | Modify the token and meta data.tables of a tCorpus |
| tCorpus$set_levels | Change levels of factor columns |
| tCorpus$set_meta | Modify the token and meta data.tables of a tCorpus |
| tCorpus$set_meta_levels | Change levels of factor columns |
| tCorpus$set_meta_name | Change column names of data and meta data |
| tCorpus$set_name | Change column names of data and meta data |
| tCorpus$subset | Subset a tCorpus |
| tCorpus$subset_meta | Subset a tCorpus |
| tCorpus$subset_query | Subset tCorpus token data using a query |
| tCorpus$top_features | Show top features |
| tCorpus_compare | Corpus comparison |
| tCorpus_create | Creating a tCorpus |
| tCorpus_data | Methods for viewing, modifying and subsetting tCorpus data |
| tCorpus_docsim | Document similarity |
| tCorpus_features | Preprocessing, subsetting and analyzing features |
| tCorpus_modify_by_reference | Modify tCorpus by reference |
| tCorpus_querying | Use Boolean queries to analyze the tCorpus |
| tCorpus_semnet | Feature co-occurrence based semantic network analysis |
| tCorpus_topmod | Topic modeling |
| tokens_to_tcorpus | Create a tcorpus based on tokens (i.e. preprocessed texts) |
| tokenWindowOccurence | Gives the window in which a term occured in a matrix. |
| top_features | Show top features |