| as.corpus.textmeta | Transform textmeta to corpus |
| as.meta | "meta" Component of "textmeta"-Objects |
| as.textmeta.corpus | Transform corpus to textmeta |
| cleanTexts | Data Preprocessing |
| clusterTopics | Cluster Analysis |
| deleteAndRenameDuplicates | Deletes and Renames Articles with the same ID |
| duplist | Creating List of Duplicates |
| filterCount | Subcorpus With Count Filter |
| filterDate | Subcorpus With Date Filter |
| filterID | Subcorpus With ID Filter |
| filterWord | Subcorpus With Word Filter |
| intruderTopics | Function to validate the fit of the LDA model |
| intruderWords | Function to validate the fit of the LDA model |
| LDAgen | Function to fit LDA model |
| LDAprep | Create Lda-ready Dataset |
| makeWordlist | Counts Words in Text Corpora |
| mergeLDA | Preparation of Different LDAs For Clustering |
| mergeTextmeta | Merge Textmeta Objects |
| plotArea | Plotting topics over time as stacked areas below plotted... |
| plotFreq | Plotting Counts of specified Wordgroups over Time (relative... |
| plotHeat | Plotting Topics over Time relative to Corpus |
| plotScot | Plots Counts of Documents or Words over Time (relative to... |
| plotTopic | Plotting Counts of Topics over Time (Relative to Corpus) |
| plotTopicWord | Plotting Counts of Topics-Words-Combination over Time... |
| plotWordpt | Plots Counts of Topics-Words-Combination over Time (Relative... |
| plotWordSub | Plotting Counts/Proportion of Words/Docs in LDA-generated... |
| precisionRecall | Precision and Recall |
| readTextmeta | Read Corpora as CSV |
| readWhatsApp | Read WhatsApp files |
| readWiki | Read Pages from Wikipedia |
| readWikinews | Read files from Wikinews |
| removeXML | Removes XML/HTML Tags and Umlauts |
| sampling | Sample Texts |
| showMeta | Export Readable Meta-Data of Articles. |
| showTexts | Exports Readable Text Lists |
| textmeta | "textmeta"-Objects |
| tidy.textmeta | Transform textmeta to an object with tidy text data |
| topicCoherence | Calculating Topic Coherence |
| topicsInText | Coloring the words of a text corresponding to topic... |
| topTexts | Get The IDs Of The Most Representive Texts |
| topWords | Top Words per Topic |
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