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Twitter crawler that uses sentiment analysis to determine whether tweets are positive or negative

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Twitter Sentiment Analysis

Description

Twitter crawler that performs a sentiment analysis to determine whether tweets about something/someone are positive or negative. Project was done as a final project in a Python course at Danmarks Tekniske Universitet (DTU) in the fall of 2011.

Requirements

The program uses the data structure server Redis, to save the data collected. It therefore must be installed and running (by calling "redis-server") on the client's computer when using the program.

The program also uses Mako Templates for Python to create a webpage with the results.

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Twitter crawler that uses sentiment analysis to determine whether tweets are positive or negative

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