Introduction to the tm Package Text Mining in R

This vignette gives a short introduction to text mining in R utilizing the text mining framework provided by the tm package. We present methods for data import, corpus …

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Trigon Metals is a Canadian mining company with its primary focus on copper production and exploration in Namibia. Trigon positions itself as a key player in the industry, having successfully transitioned one of …

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tm

tm (shorthand for Text Mining Infrastructure in R) provides a framework for text mining applications within R. The tm package offers functionality for managing text documents, …

tm: Text Mining Package

• Description
• Usage
• Value
• See Also
• VCorpus
• SimpleCorpus VCorpus PCorpus
• Data Frame Source
• Directory Source
• Encoding iconv
• Access Document IDs and Terms
• Description
• DocumentTermMatrix TermDocumentMatrix
• Value
• Description
• Read Document-Term Matrices
• See Also
• Value
• Examples
• Description
• Value
• Description
• Usage
• TermDocumentMatrix() VCorpus PCorpus
• Description
• Arguments
• or a . DublinCore TextDocument Corpus
• Source
• Corpus
• TextDocument
• Read In a Text Document from a Data Frame
• PlainTextDocument
• PlainTextDocument .
• Readers
• Source TextDocument
• Read In a PDF Document
• PlainTextDocument .
• Read In a Text Document
• Arguments
• See Also
• Description
• TaggedTextDocument
• Read In an XML Document
• Remove Punctuation Marks from a Text Document
• Remove Sparse Terms from a Term-Document Matrix
• Arguments
• Value
• See Also
• Usage
• Corpus
• DirSource
• Complete Stems
• Description
• Arguments
• Details
• Description
• Term-Document Matrix
• SimpleCorpus
• Term Frequency Vector
• TextDocument
• Text Documents
• Transformations on Corpora
• Combine Transformations
• Tokenizers
• Uniform Resource Identifier Source
• Volatile Corpora
• Corpus
• Details
• Value
• See Also
• Examples
• TermDocumentMatrix
• Value
• Description
• Arguments
• Value
• Examples
• Examples
• Details
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tm: Text Mining Package

A framework for text mining applications within R. Version: 0.7-13. Depends: R (≥ 3.2.0), NLP (≥ 0.2-0) Imports: Rcpp, parallel, slam (≥ 0.1-37), stats, tools, utils, …

Toward the design of ultrahigh-entropy alloys via mining six …

Text mining (TM) is efficient in extracting information from corpora. Still, it cannot discover materials not present in the corpora, hindering its broader applications …