Work with a set of Tweets about US airlines and examine their sentiment polarity.The aim is to learn to classify Tweets as either “positive”, “neutral”, or “negative” by using two classifiers and pipelines for pre-processing and model building.
scala spark tweets sentiment-analysis tokenizer dataframe machine-learning-pipelines rdd stopwords-removal
- Updated
Aug 7, 2019 - Scala