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En esta práctica se empaqueta y distribuye una aplicación Python que descarga y analiza tweets en función de puntuaciones de sentimiento. Los resultados del análisis se guardan en una base de datos MongoDB, y la información se muestra en la web.
Capstone project of CodingNomads' online Python Programming bootcamp. Over 100k tweets were mined using tweepy (Twitter API), stored using SQLAlchemy and finally analyzed.
Social networks are the main resources to gather information about people’s opinion and sentiments towards different topics as they spend hours daily on social media and share their opinion. In this Repo Tweets of users are collected and analysis is done with the help of machine learning algorithm, to classify the polarity of tweets.
We are scraping the data from the social media Twetter to collect data about Bitcoin, the famous crypto-currency. After cleaning those data and place them in a pandas dataframe, our program is doing a sentimental analysis on each tweet and return the polarity.