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### Prerequisites
What things you need to install the software and how to install them
What things you need to install and how to install them
```
Give examples
- python3+
- nltk
- igraph
- Tensorflow 1.15.0 keras 2.2.4
- Tensorflow-hub
-ConceptNet 5.6.0
```
### Installing
A step by step series of examples that tell you how to get a development env running
Say what the step will be
```
Give the example
- pip install tensorflow
- pip install tensorflow-hub
- pip install nltk
- pip install python-igraph
- pip install spacy
- pip install sklearn
```
And repeat
```
until finished
```
End with an example of getting some data out of the system or using it for a little demo
## Running the tests
## Data Preperation
Explain how to run the automated tests for this system
To execute the project, you must first select a dataset. <br>
Part of the Dataset has to be annotated manually, which is then used as the gold standard. The data must then be prepared accordingly. A test file and a trace file. How these must look exactly, can be taken from our attached files.
