* Sentiment Analysis
4.4. * Sentiment Analysis#
Warning
This learning outcome is considered optional in [OhioDoHEducation21]. We include it here but do not develop it.
Learning Outcome
Interpret and classify emotions within text data using rule-based or machine learning algorithms which focus on polarity (negative, neutral, or positive), feelings and emotions (happy, angry, sad, etc.) and intentions (interested or not interested).
Sample Tasks
Identify the various types of sentiment analysis.
Identify, or give an example of, uses of sentiment analysis.
Read text from a dataset and tokenize the data.
Use a sentiment lexicon to analyze the sentiment for given text data.
Visualize the sentiment of text data using scatterplots or boxplots.
Use a package such as Sentiment Analysis in R to perform sentiment analysis for a given set of data.