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NER und Sentiment-Pipeline mit Services zur Datenextraktion. --------- Co-authored-by: Philipp Horstenkamp <philipp@horstenkamp.de> Co-authored-by: TrisNol <tristan.nolde@yahoo.de>
33 lines
698 B
Markdown
33 lines
698 B
Markdown
```mermaid
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flowchart LR
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DBConnect["`**Mongo Connect**
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- create connection string
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- establish connection`"]
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DBRead["`**Mongo Read**
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- read database
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- get fields without attribute 'companies'`"]
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NER["`**SentimentService**
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- process news article
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- get sentiment`"]
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DBUpdate["`**Mongo Update Documents**
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- update processed documents
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- add an attribute 'sentiment'`"]
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id1[["`**SentimentSpacy**
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Sentiment analysis with spaCy`"]]
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id3[["`**SentimentTransformer**
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Sentiment analysis with transformer`"]]
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DBConnect-->DBRead-->NER
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NER--select service-->id1
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NER--select service-->id3
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id1-->DBUpdate
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id3-->DBUpdate
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```
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