Twitter Trend Analysis

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Historical Twitter data analysis to detect influencers and tracking their tweets to predict trends in real-time using LDA. ...learn more

Project status: Concept

Networking, Artificial Intelligence

Code Samples [1]

Overview / Usage

Influencer Detection: Influencers are detected by running a PageRank algorithm on a graph representing the retweet patterns for the tweets in the dataset. Bots are filtered by analyzing the graph for motif patterns like high out degree and cliques.

Trend Analysis: Twitter Streaming APIs are used to obtain real-time tweets from the influencers and LDA is performed for topic-modeling, and the results sent to a Kafka cluster to be used by Kibana for visualization.

Technologies Used

Spark
GraphFrames
twitter4j

Repository

https://github.com/abhijeet-13/Twitter_Trend_Analysis

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