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MARP-1838 Removing duplication in README_DE #50

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49 changes: 0 additions & 49 deletions amazon-comprehend-connector-product/README_DE.md
Original file line number Diff line number Diff line change
Expand Up @@ -13,52 +13,3 @@ Die wichtigsten Merkmale:

**Wie unterscheidet sich Amazon Comprehend von ChatGPT?**
Wenn es Dein Ziel ist, spezifische NLP-Aufgaben wie Stimmungsanalyse oder Entitätserkennung mit großen Textdatenmengen durchzuführen, dann ist AWS Comprehend eine gute Wahl. Es bietet pre-trained Modelle, Skalierbarkeit und die Integration in das AWS-Ökosystem. Wenn du jedoch ein vielseitigeres Sprachmodell für Gespräche oder die Generierung von Text benötigst, ist ChatGPT möglicherweise besser geeignet.

## Demo

### Sentiment Detection

1. Type any text you like into the text field like: _I really like that car_.
2. Click on Detect Sentiment
3. Amazon Comprehend will detect the sentiment for you.

![demo-process](images/comprehend-demo-sentiment.png)

### Entities Detection

1. Type any text you like into the text field like: _John Smith is from Switzerland_.
2. Click on Detect Entities
3. Amazon Comprehend will detect the entities for you.

![demo-process](images/comprehend-demo-entities.png)


## Setup

1. First you need to create a secret key and an access key for Amazon.
Go to https://aws.amazon.com

2. Login or create a new account.

3. Click on My Security credentials:

![demo-process](images/comprehend-setup-credentials.png)

4. Create a new access key and a new secret key.

![demo-process](images/comprehend-setup-keys.png)

5. Configure the following variables in your project:

```
Variables:

Amazon.Comprehend:

# Secret key to access amazon comprehend
SecretKey: <YOUR_SECRET_KEY>

# Access key to access amazon comprehend
AccessKey: <YOUR_ACCESS_KEY>
```

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