Text Analytics using Supervised Text Classification

Text Analytics using Supervised Text Classification

Bachelor Thesis, Master Thesis

Text classification has become a popular solution to many problems brought forward by social media platforms such as Twitter. In a nutshell, supervised text classification extracts relevant information from manually classified documents and learns a model from the extracted information. The growing text analytics market heavily relies on text classification to offer services such as sentiment analysis, document categorization, scientific discovery etc. With the help of DKPro-TC, our framework for supervised text classification, you will study novel text analysis tasks and collect new insights into artificial intelligence.

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