Social Network Analysis in Python | Python | Machine Learning (ML) | Social Networking | Natural Language

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1. Pull Twitter information from a hashtag and use NetworkX to create graphs of SNA.

2. Two graphs with NetworkX, first one where mentions between users that are given in each post are related, and the second should be an undirected graph of users associating each of the hashtags mentioned by users.

3. Two graphs with NetworkX , the first one associated with the tf-idf list of top 100 words by importance (most used) and the users who used them, the second graph should be an undirected chart of users using emojis.

Skills: Python, Machine Learning (ML), Social Networking, Natural Language

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