Jeremey Diaz
Jeremey Diaz has contributed to the materials listed below.Course Lessons
Course lessons are developed as a part of a course curriculum. They teach specific learning objectives associated with data and scientific programming. Jeremey Diaz has contributed to the following lessons:
Analyze The Sentiment of Tweets From Twitter Data and Tweepy in Python
One way to analyze Twitter data is to analyze attitudes (or sentiment) in the tweet text. Learn how to analyze sentiments in Twitter data using open source Python.
Analyze Co-occurrence and Networks of Words Using Twitter Data and Tweepy in Python
One common way to analyze Twitter data is to identify the co-occurrence and networks of words in Tweets. Learn how to analyze word co-occurrence (i.e. bigrams) and networks of words using Python.
Analyze Word Frequency Counts Using Twitter Data and Tweepy in Python
One common way to analyze Twitter data is to calculate word frequencies to understand how often words are used in tweets on a particular topic. To complete any analysis, you need to first prepare the data. Learn how to clean Twitter data and calculate word frequencies using Python.