vaibhav1595/real-time-insights-from-social-media-data

Learn to analyze Twitter data and do a deep dive into a hot trend.

Real-time-Insights-from-Social-Media-Data

In this Project, I will use pre-downloaded datasets to understand the nuts and bolts of Twitter Data. In particular, I will do a thorough analysis of a hot-trend. Warning: some of the tweets in the Twitter datasets contain explicit language.

• Loaded and inspected data for topics that were hot worldwide (WW) and in the United States (US) at the moment of query
• Used json.dumps() method to have the data formatted as a pretty JSON string
• Used python's set datastructure to find the common trends between "World Trends" and "US Trends"
• Digged deeper to explore the common hot trend "#WeLoveTheEarth"
• Performed frequency analysis to get the sense of the data and Extracted useful information from retweets
• Manipulated and Visualized the data in a better and richer way
• Analysed languages used in tweets