update README.md

alexiszamanidis · May 14, 2020 · dd17026 · dd17026
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diff --git a/README.md b/README.md
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-# articles
+# News articles classification and clustering
+
+In this repository we perform text classification experiments using Support Vector
+Machines(SVM), Random Forest, Naive Bayes and K-Nearest Neighbor Classifier. Also, 
+we perform text clustering using K-means Clusterer.
+
+First of all, we create a data set from our documents. The input is 2225 documents
+and the labels consists of Business, Entertainment, Politics, Sport and Tech.
+
+To sum up, the whole procedure consists of:
+
+1) Create a data set of all documents
+2) Text pre-processing
+3) Generate Word Clouds
+4) Vectorization
+5) Classification and Clustering
diff --git a/news_articles_documents/README.md b/news_articles_documents/README.md
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-Consists of 2225 documents from a news website corresponding to stories in five topical areas from 2004-2005.
+Consists of 2225 documents from a news website corresponding to stories in five topical areas 
+from 2004-2005.
 
-Natural Classes: 5 (business, entertainment, politics, sport, tech)
+Natural Classes: 5
+* Business
+* Entertainment
+* Politics
+* Sport
+* Tech
 
 First line of each document is the title and the rest is the content of the article.