Natural Language Processing (NLP) has shown great potential towards identifying emotions as well as mental issues (stress, anxiety, depression, etc.) of people based on their written text.  In this talk/poster, we will present the main concept and our first steps towards deriving insights into the emotional well-being of cancer survivors, using social media and browser history data, in order to support patient monitoring during their after care. This research takes place in the context of the [REBECCA H2020 project](https://rebeccaproject.eu/) that aims to leverage a variety of Real-World Data (RWD) to support clinical research and to improve existing clinical workflows on breast cancer patient management and treatment. We will also discuss the associated issues and challenges.

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