The accepted answer provides the approach that I used to remove URLs, etc. from my files. However it left "blank" lines. Here is a solution.
sed -i -e 's/http[s]\?:\/\/\S*//g ; s/www\.\S*//g ; s/ftp:\S*//g' input_file
perl -i -pe 's/^'`echo "\012"`'${2,}//g' input_file
The GNU sed flags, expressions used are:
-i Edit in-place
-e [-e script] --expression=script : basically, add the commands in script
(expression) to the set of commands to be run while processing the input
^ Match start of line
$ Match end of line
? Match one or more of preceding regular expression
{2,} Match 2 or more of preceding regular expression
\S* Any non-space character; alternative to: [^[:space:]]*
However,
sed -i -e 's/http[s]\?:\/\/\S*//g ; s/www\.\S*//g ; s/ftp:\S*//g'
leaves nonprinting character(s), presumably \n
(newlines). Standard sed
-based approaches to remove "blank" lines, tabs and spaces, e.g.
sed -i 's/^[ \t]*//; s/[ \t]*$//'
do not work, here: if you do not use a "branch label" to process newlines, you cannot replace them using sed (which reads input one line at a time).
The solution is to use the following perl expression:
perl -i -pe 's/^'`echo "\012"`'${2,}//g'
which uses a shell substitution,
to replace an octal value
(i.e., a newline, \n
), that occurs 2 or more times,
(otherwise we would unwrap all lines), with something else; here:
i.e., nothing.
[The second reference below provides a wonderful table of these values!]
The perl flags used are:
-p Places a printing loop around your command,
so that it acts on each line of standard input
-i Edit in-place
-e Allows you to provide the program as an argument,
rather than in a file
References:
Example:
$ cat url_test_input.txt
Some text ...
https://stackoverflow.com/questions/4283344/sed-to-remove-urls-from-a-file
https://www.google.ca/search?dcr=0&ei=QCsyWtbYF43YjwPpzKyQAQ&q=python+remove++citations&oq=python+remove++citations&gs_l=psy-ab.3...1806.1806.0.2004.1.1.0.0.0.0.61.61.1.1.0....0...1c.1.64.psy-ab..0.0.0....0.-cxpNc6youY
http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html
https://bbengfort.github.io/tutorials/2016/05/19/text-classification-nltk-sckit-learn.html
http://datasynce.org/2017/05/sentiment-analysis-on-python-through-textblob/
https://www.google.ca/?q=halifax&gws_rd=cr&dcr=0&ei=j7UyWuGKM47SjwOq-ojgCw
http://www.google.ca/?q=halifax&gws_rd=cr&dcr=0&ei=j7UyWuGKM47SjwOq-ojgCw
www.google.ca/?q=halifax&gws_rd=cr&dcr=0&ei=j7UyWuGKM47SjwOq-ojgCw
ftp://ftp.ncbi.nlm.nih.gov/
ftp://ftp.ncbi.nlm.nih.gov/1000genomes/ftp/alignment_indices/20100804.alignment.index
Some more text.
$ sed -e 's/http[s]\?:\/\/\S*//g ; s/www\.\S*//g ; s/ftp:\S*//g' url_test_input.txt > a
$ cat a
Some text ...
Some more text.
$ perl -i -pe 's/^'`echo "\012"`'${2,}//g' a
Some text ...
Some more text.
$