Real-time sentiment analysis of Twitter public stream

Real-time sentiment analysis of Twitter public stream

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Sentiment analysis on Twitter public stream has been a topic of research recently. Several non-commercial libraries and software were developed to perform sentiment analysis, however none of them performed the analytics in real-time for Twitter data. Performing the same task in real-time can gives u...

Täydet tiedot

Bibliografiset tiedot
Päätekijä: Akhavan Rahnama, Amir
Muut tekijät: Informaatioteknologian tiedekunta, Faculty of Information Technology, Tietotekniikan laitos, Department of Mathematical Information Technology, University of Jyväskylä, Jyväskylän yliopisto
Aineistotyyppi: Pro gradu
Kieli:eng
Julkaistu: 2015
Aiheet:
sentiment analysis
real-time analytics
social media mining
twitter
large- scale learning
parallel decision tree
Tietotekniikka
Mathematical Information Technology
602
Twitter
sosiaalinen media
tiedonlouhinta
Linkit: https://jyx.jyu.fi/handle/123456789/45352

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