Work

Collecting, analyzing and visualizing tweets using open source tools

Year: 2011

Type: conference-paper

Abstract: This tutorial introduces various open source tools and methods to archive tweets on a user's local machine and convert them into topic clouds for quick content analysis. For more in-depth analysis of the content, basic natural language processing techniques such as n-grams and term extraction are introduced along with PHP/Python scripting.

Source: Annual International Conference on Digital Government Research

DOI: 10.1145/2037556.2037633

Authors: Seungwon Yang, Andrea L. Kavanaugh

Institution: Virginia Tech

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

Open Access status: diamond

Funders: National Science Foundation, Division of Information and Intelligent Systems

Award: G7528109534