Collocations are phrases or expressions containing multiple words, that are highly likely to co-occur. For example – ‘social media’, ‘school holiday’, ‘machine learning’, ‘Universal Studios Singapore’, etc.
Continue reading “Collocations in NLP using NLTK Library”
This blog is in continuation to my NLP blog series. In the previous blogs, I discussed data pre-processing steps in R and recognizing emotions present in ted talks. In this blog, I am going to predict the ratings of the ted talks given by viewers. This would require Multi Class Classification and quite a bit of data cleaning and preprocessing. We will discuss each step in detail below. So, let’s dive in.
Continue reading “Multi Class Classification in Text using R: Predicting Ted Talk Ratings”