title: Keyword-Based Classification of Tweets
body: <p>I have a data set of around 40,000 Tweets. I also have 5 text files all corresponding to different categories I would like to classify the Tweets into (travel, work, vacation, etc.) Each of these text files contains certain specific keywords for the category.</p>
  
  <p><strong>For example</strong>, the text file for vacation (<em>vacation.txt</em>) contains flight, beach, hotel, etc.</p>
  
  <p>I'd like to label my data set by mapping the keywords contained in these text files to the associated category.</p>
  
  <p><strong>For example</strong>, a Tweet containing the word "beach" would be labelled vacation.</p>
  
  <p>I am using python for all of my analysis. The Tweets are contained in a <strong>.csv file</strong>.</p>
  
  <p>Also, what are some other interesting approaches I could take for labeling and classifying my data? I understand that keyword-based is not the most efficient or accurate.</p>