I have a problem in structuring a txt dataset, which is about the news from different fields and time, looking like this:
court agrees to expedite n.f.l.'s appeal
the decision means a ruling could be made nearly two months before the regular season begins, time for the sides to work out a deal without delaying the season.
http://feeds1.nytimes.com/~r/nyt/rss/sports/~3/nbjo7ygxwpc/04nfl.html
0
04 May 2011 07:39:03
nyt
sport
investing: can you profit in agricultural commodities?
bad weather is one factor behind soaring food prices. can you make hay with farm stocks? possibly: but be prepared to harvest gains on a moment's ...
http://rssfeeds.usatoday.com/~r/usatodaycommoney-topstories/~3/qbhb22sut9y/2011-05-19-can-you-make-gains-in-grains_n.htm
1
20 May 2011 15:13:57
ut
business
no tsunami but fifa's corruption storm rages on
though jack warner's threatened soccer "tsunami" remains stuck in the doldrums, the corruption storm raging around fifa shows no sign of abating after another extraordinary week for the game's governing body.
2
07 Jun 2011 17:54:54
reuters
sport
Now I am trying to use R to read this dataset as different variables in columns. The first line of each is "Topic", then "Description", "Link", "ID", "Data&Time", "City", and last one is "Fields". The file contains thousands of rows and many of them have missing variables.
I really don't know where and how to start it. Hope anyone can help me!