Tools for Statistical Content Analysis
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Documentation for package ‘tosca’ version 0.3-4
Help Pages
| 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 |
| filterCount.default | Subcorpus With Count Filter |
| filterCount.textmeta | Subcorpus With Count Filter |
| filterDate | Subcorpus With Date Filter |
| filterDate.default | Subcorpus With Date Filter |
| filterDate.textmeta | Subcorpus With Date Filter |
| filterID | Subcorpus With ID Filter |
| filterID.default | Subcorpus With ID Filter |
| filterID.textmeta | Subcorpus With ID Filter |
| filterWord | Subcorpus With Word Filter |
| filterWord.default | Subcorpus With Word Filter |
| filterWord.textmeta | Subcorpus With Word Filter |
| importance | Top Words per Topic |
| intruderTopics | Function to validate the fit of the LDA model |
| intruderWords | Function to validate the fit of the LDA model |
| is.duplist | Creating List of Duplicates |
| is.textmeta | "textmeta"-Objects |
| is.textmeta_tidy | Transform textmeta to an object with tidy text data |
| 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 |
| plot.textmeta | "textmeta"-Objects |
| plotArea | Plotting topics over time as stacked areas below plotted lines. |
| plotFreq | Plotting Counts of specified Wordgroups over Time (relative to Corpus) |
| plotHeat | Plotting Topics over Time relative to Corpus |
| plotScot | Plots Counts of Documents or Words over Time (relative to Corpus) |
| plotTopic | Plotting Counts of Topics over Time (Relative to Corpus) |
| plotTopicWord | Plotting Counts of Topics-Words-Combination over Time (Relative to Words) |
| plotWordpt | Plots Counts of Topics-Words-Combination over Time (Relative to Topics) |
| plotWordSub | Plotting Counts/Proportion of Words/Docs in LDA-generated Topic-Subcorpora over Time |
| precision | Precision and Recall |
| print.duplist | Creating List of Duplicates |
| print.textmeta | "textmeta"-Objects |
| print.textmeta_tidy | Transform textmeta to an object with tidy text data |
| readTextmeta | Read Corpora as CSV |
| readTextmeta.df | Read Corpora as CSV |
| readWhatsApp | Read WhatsApp files |
| readWiki | Read Pages from Wikipedia |
| readWikinews | Read files from Wikinews |
| recall | Precision and Recall |
| removeHTML | Removes XML/HTML Tags and Umlauts |
| removeUmlauts | Removes XML/HTML Tags and Umlauts |
| removeXML | Removes XML/HTML Tags and Umlauts |
| sampling | Sample Texts |
| showMeta | Export Readable Meta-Data of Articles. |
| showTexts | Exports Readable Text Lists |
| summary.duplist | Creating List of Duplicates |
| summary.textmeta | "textmeta"-Objects |
| 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 allocation |
| topTexts | Get The IDs Of The Most Representive Texts |
| topWords | Top Words per Topic |
| vprecision | Precision and Recall |
| vrecall | Precision and Recall |