Essays about: "Online supervised learning"
Showing result 6 - 10 of 40 essays containing the words Online supervised learning.
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6. Sentiment Classification of Amazon Product Reviews
University essay from Uppsala universitet/Statistiska institutionenAbstract : Opinions and attitudes expressed online contain information useful to companies and organizations. By using machine learning and statistical models automated ways of understanding online behavior can be implemented. READ MORE
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7. Predicting Customer Satisfaction in the Context of Last-Mile Delivery using Supervised and Automatic Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The prevalence of online shopping has steadily risen in the last few years. In response to these changes, last-mile delivery services have emerged that enable goods to reach customers within a shorter timeframe compared to traditional logistics providers. READ MORE
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8. Active Learning for Extractive Question Answering
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Data labelling for question answering tasks (QA) is a costly procedure that requires oracles to read lengthy excerpts of texts and reason to extract an answer for a given question from within the text. QA is a task in natural language processing (NLP), where a majority of recent advancements have come from leveraging the vast corpora of unlabelled and unstructured text available online. READ MORE
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9. Data Segmentation Using NLP: Gender and Age
University essay from Uppsala universitet/Avdelningen för datalogiAbstract : Natural language processing (NLP) opens the possibilities for a computer to read, decipher, and interpret human languages to eventually use it in ways that enable yet further understanding of the interaction and communication between the human and the computer. When appropriate data is available, NLP makes it possible to determine not only the sentiment information of a text but also information about the author behind an online post. READ MORE
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10. Methods to combine predictions from ensemble learning in multivariate forecasting
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Making predictions nowadays is of high importance for any company, whether small or large, as thanks to the possibility to analyze the data available, new market opportunities can be found, risks and costs can be reduced, among others. Machine learning algorithms for time series can be used for predicting future values of interest. READ MORE