training neural network I was given the task as follows,


  Scrape articles appearing in Times of India since 2010 on HIV and AIDS. Classify them using training a neural network of your choice. Find patterns in those articles, analyze the data.


I have done the scraping part, But I have no clue what to do now with the data I have extracted. I searched for hours on internet but could not find any help.
I know theory part about the neural network but lack knowledge for implementing it on a text. It would be of great help if someone can suggest me any method or provide me some helpful link.
There are many solutions for this task. I suggest one of them. As you know, words have relation and if you choose to give each word a special code, you can't have this relation. Consequently, first try to use an embedding network in order to assign each word a code. Then assign each article a label. Next, for each article, you have a sequence of words, codes, which are now embedded. You can employ LSTM networks for classification. 

If you are not very familiar with the concepts I referred to, you may want to look for Word2Vec.