Tobias GüntherRetresco Gmbh
Tobias Günther
Master in Language Technology
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Publications (3)
This paper describes the enhancements made to our GU-MLT-LT system (Günther and Furrer, 2013) for the SemEval-2014 re-run of the SemEval-2013 shared task on sentiment analysis in Twitter. The changes include the usage of a Twitter-specific to-kenizer, additional features and sentiment lexica, feature weighting and random sub-space learning. The imp...
In this work we examine the problem of sentiment analysis in microblogs, which has become a popular research topic in the last years. We provide a detailed review of previous work in the field and a survey summarizing common practices and available resources. Furthermore, we conduct a series of machine learning experiments using the largest manuall...
This paper describes the details of our system submitted to the SemEval-2013 shared task on sentiment analysis in Twitter. Our approach to predicting the sentiment of Tweets and SMS is based on supervised machine learning techniques and task-specific feature engineering. We used a linear classifier trained by stochastic gradient descent with hinge...
