Simple Parts of Speech (POS) tagger along with text to speech feature
Simple Parts of Speech (POS) tagger along with text to speech feature
Uses nltk corpus for training the text and a Decision Tree Classifier is used for classification of the testing data.
The Google Text to Speech engine is used and is necessary to be connected to the internet for it to work.
The frequency of every noun,verb and adjective in the text is plotted on a bar graph.