aki_prj23_transparenzregister/Jupyter/NER/Sentiment-Pipeline.md
Sebastian c680ac9759
Feature/ner (#103)
NER und Sentiment-Pipeline mit Services zur Datenextraktion.

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Co-authored-by: Philipp Horstenkamp <philipp@horstenkamp.de>
Co-authored-by: TrisNol <tristan.nolde@yahoo.de>
2023-10-16 19:54:24 +02:00

698 B

flowchart LR
    DBConnect["`**Mongo Connect**
    - create connection string
    - establish connection`"]

    DBRead["`**Mongo Read**
    - read database
    - get fields without attribute 'companies'`"]

    NER["`**SentimentService**
    - process news article
    - get sentiment`"]

    DBUpdate["`**Mongo Update Documents**
    - update processed documents
    - add an attribute 'sentiment'`"]

    id1[["`**SentimentSpacy**
    Sentiment analysis with spaCy`"]]


    id3[["`**SentimentTransformer**
    Sentiment analysis with transformer`"]]

    DBConnect-->DBRead-->NER
    NER--select service-->id1
    NER--select service-->id3

    id1-->DBUpdate
    id3-->DBUpdate