Project partner: SAP AG
In this project we will develop a framework for building general-applicable as well as domain-specific word vectors by using state-of-the-art deep learning technology. The research problem on textual representation learning will be studied intended to find the most efficient solution for deep neural network design, and system implementation. The evaluation protocol will be defined and developed for the qualitative and quantitative evaluation. Based on possible labelled data provided, the combination of word vectors trained and labelled datasets would facilitate various NLP applications, such as in-domain keyword disambiguation, general sentiment analysis, customer satisfaction analysis, user query pre-classification etc.