Essays about: "classification with data imbalance"
Showing result 26 - 30 of 39 essays containing the words classification with data imbalance.
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26. Fine-grained sentiment analysis of product reviews in Swedish
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : In this study we gather customer reviews from Prisjakt, a Swedish price comparison site, with the goal to study the relationship between review and rating, known as sentiment analysis. The purpose of the study is to evaluate three different supervised machine learning models on a fine-grained dependent variable representing the review rating. READ MORE
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27. Multi-Class Imbalanced Learning for Time Series Problem : An Industrial Case Study
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Classification problems with multiple classes and imbalanced sample sizes present a new challenge than the binary classification problems. Methods have been proposed to handle imbalanced learning, however most of them are specifically designed for binary classification problems. READ MORE
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28. Automatic Recognition and Classification of Translation Errors in Human Translation
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Grading assignments is a time-consuming part of teaching translation. Automatic tools that facilitate this task would allow teachers of professional translation to focus more on other aspects of their job. Within Natural Language Processing, error recognitionhas not been studied for human translation in particular. READ MORE
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29. Machine Learning analysis of text in a Clinical Decision Support System
University essay fromAbstract : Nurses at the Uppsala Emergency Medical Dispatch Center uses a computerized dispatcher system to prioritize patients calling the emergency number (112). The dispatchers at the emergency dispatcher center register information into that system to help them determine the treatment necessary for the patient’s condition. READ MORE
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30. Machine Learning for Sparse Time-Series Classification - An Application in Smart Metering
University essay from KTH/Matematisk statistikAbstract : Smart Meters are measuring devices collecting labeled time series data of utility consumptions from sub-meters and are capable of automatically transmit-ting this between the customer and utility companies together with other companies that offer services such as monitoring of consumption and cleaning of data. The smart meters are in some cases experiencing communication errors. READ MORE
