visualize_sentiments: Visualize Sentiment Analysis
In UBC-MDS/tweetr: What the Package Does (One Line, Title Case)

Takes in the output of sentiment_analysis and creates a visualization of user's tweets with sentimental analysis.

1	visualize_sentiments(sentiment_df, plot_type = "Standard")

`sentiment_df`	A DataFrame containing sentiment column from sentiment_analysis
`plot_type`	An optional string for which chart to return. Options are ("Standard", "Separate")

A bar chart containing most common words in tweets, colour coded by sentiment.

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data <- tweetr::brunomars_tweet
sentiment_df <- sentiment_analysis(data)
visualize_sentiments(sentiment_df, plot_type = "Separate")

UBC-MDS/tweetr documentation built on March 21, 2021, 7:14 p.m.

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