1. Learn
    2. /
  2. Courses
    3. /
  3. Analyzing Social Media Data in Python
Connected

Exercise

Loading VADER

Sentiment analysis provides us a small glimpse of the meaning of texts with a rather directly interpretable method. While it has its limitations, it's a good place to begin working with textual data. There's a number of out-of-the-box tools in Python we can use for sentiment analysis.

ds_tweets with the datetime index has been loaded for you.

Instructions

100 XP
  • Load SentimentIntensityAnalyzer from nltk.sentiment.vader.
  • Instantiate a new SentimentIntensityAnalyzer object.
  • Generate sentiment scores with the .apply() method and the analyzer's polarity_scores() function.