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    <p>Further to my comment, how about if you combine your plain text documents in <code>R</code> before creating the corpus? For example, if <code>1.txt</code>, <code>2.txt</code> and <code>3.txt</code> are plain text files, you can read them into <code>R</code> like so</p> <pre><code>a &lt;- readLines(file("C:/Users/X/Desktop/1.txt")) b &lt;- readLines(file("C:/Users/X/Desktop/2.txt")) c &lt;- readLines(file("C:/Users/X/Desktop/3.txt")) </code></pre> <p>and then you could combine them, similar to your example above</p> <pre><code>abc &lt;- c(a, b, c) </code></pre> <p>That will stack the documents up in order and preserve line-by-line format in a single data object, as you request. However, if you then make this into a corpus with </p> <pre><code>abc.corpus &lt;- Corpus(VectorSource(abc)) # not what you want </code></pre> <p>then you'll get a corpus with as many documents as lines, which doesn't sound like what you want. Instead what you need to do is combine the text objects like this </p> <pre><code>abc.paste &lt;- paste(a,b,c, collapse=' ') # this is what you want </code></pre> <p>so that the resulting <code>abc.paste</code> object is a single line. Then when you make a corpus using </p> <pre><code>abc.corpus &lt;- Corpus(VectorSource(abc.paste)) </code></pre> <p>the result will be <code>A corpus with 1 text document</code> which you can then analyse with functions in the <code>tm</code> package.</p> <p>It should be straightforward to extend this into a function to efficiently concatenate your 7000+ plain text documents and then make a corpus from the resulting data object. Does that get you any closer to what you want to do?</p>
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