Web Information Retrieval and Data Mining: False rumour detector from twitter data
*kmeans.py: contains partitional clustering execution code (DBSCAN and K-MEANS) instrutions: put in the same folder with the sample data: SVM2.txt and NO_Tweet_ID.xls and execute it as "python kmeans.py"
*index.py: contains apache pylucene index creation code instructions: put it in the same folder with kmeans.py and execute it as "python index.py"
*ask.py: contains apache pylucene index search code (query prompt) instructions: put it in the same folder with kmeans.py and execute it as "python ask.py"