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Real-Time Sentiment Analysis of Microblog Messages with the Maltego “Tweet Analyzer” Machine

Real-Time Sentiment Analysis of Microblog Messages with the Maltego “Tweet Analyzer” Machine
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Author(s): Shalin Hai-Jew (Hutchinson Community College, USA)
Copyright: 2017
Pages: 22
Source title: Social Media Listening and Monitoring for Business Applications
Source Author(s)/Editor(s): N. Raghavendra Rao (FINAIT Consultancy Services, India)
DOI: 10.4018/978-1-5225-0846-5.ch012

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Abstract

For social media to work as a “human sensor network” or a relevant source for “eventgraphing” for some fast-moving events, it is important to be capture real-time and locational information. It may help to not only capture information from a particular social media platform but from across the Web. In such a context, Maltego Carbon 3.5.3/Chlorine 3.6.0's Tweet Analyser “machine” (with AlchemyAPI built-in) and used in combination with other “transforms,” may serve the purpose—at least for initial and iterated sampling of the related messaging. This tool may be used to capture information from social media accounts.. social media accounts, linked URLs, geolocational information, and other information of research value. Maltego is an open-access tool with a community version and a proprietary commercial version available by subscription. Maltego Chlorine's Tweet Analyzer has a built-in sentiment analysis feature.

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