We developed a document classifier web service in which a document is uploaded and is classified using naive bayes classifier.

We used 20news_group dataset for our classification.

20 newsgroup dataset

1. Dataset was combined into one file.
2. Stopwords were removed.
3. Lemmatization was performed on the datasets.
4. Probabilies of each word against each category was calculated and stored in the database.
5. Classification was performed based on the probabilities(naive bayes theorem)

Bag of Words

Probabilities of each word was calculated

Website and Document Upload

Classification