Step 1: Install packages required. After installing NLTK , use nltk.download() and Download all the packages.
Step 2: Create Headers for Files: Set a folder path. Run "Header Creator" File.
Step 3: Set the same folder path. Run "Scraping Data" File.
Step 4: Set same folder path. Classify the "Tokenizationtable.csv" by use of "Classification of Scraped_source" file. It will classify according to keywords.(Adding new accurate keywords will help more)
Step 5: To train the model again :- Use "Neural Network v1" by changing the file path to the "Tokenizationtable.csv" with same folder. It will create a "synapses.json" file in the same folder. It will create a "words.txt" file in the same folder. It will create a "classes.txt" file in the same folder.
Step 6: To use the Created model use "Use Model" file. Use "Classify" function to predict the classification.