Browsing by Author "Frank, Eibe"
Now showing items 6-10 of 122
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AffectiveTweets: a Weka package for analyzing affect in tweets
(Microtome Publishing, 2019)AffectiveTweets is a set of programs for analyzing emotion and sentiment of social media messages such as tweets. It is implemented as a package for the Weka machine learning workbench and provides methods for calculating ... -
Alternating model trees
(ACM Press, 2015)Model tree induction is a popular method for tackling regression problems requiring interpretable models. Model trees are decision trees with multiple linear regression models at the leaf nodes. In this paper, we propose ... -
Analysing chromatographic data using data mining to monitor petroleum content in water
(Springer, 2009)Chromatography is an important analytical technique that has widespread use in environmental applications. A typical application is the monitoring of water samples to determine if they contain petroleum. These tests are ... -
Annotate-Sample-Average (ASA): A New Distant Supervision Approach for Twitter Sentiment Analysis
(IOS Press, 2016-01-01)The classification of tweets into polarity classes is a popular task in sentiment analysis. State-of-the-art solutions to this problem are based on supervised machine learning models trained from manually annotated examples. ... -
The applicability of ambient sensors as proximity evidence for NFC transactions
(IEEE Computer Society, 2017)Near Field Communication (NFC) has enabled mobile phones to emulate contactless smart cards. Similar to contactless smart cards, they are also susceptible to relay attacks. To counter these, a number of methods have been ...
