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
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Updated
Aug 7, 2019 - Scala