04 Sentiment Analysis Tweets Data
This is a demonstration of how to use ML Studio to complete a sentiment analysis based on tweets data.
We are gonna to use tweets data and stopword dataset to train a model to predict the sentiment. We will first
use python script to preprocess the raw file and then use feature hashing to convert the data to numeric value.
This is a binary classification problem, a two-class boosted tree will be a good choice as training algorithm
