Feature/ner (#103)

NER und Sentiment-Pipeline mit Services zur Datenextraktion.

---------

Co-authored-by: Philipp Horstenkamp <philipp@horstenkamp.de>
Co-authored-by: TrisNol <tristan.nolde@yahoo.de>

Jupyter/NER/Sentiment-Pipeline.md

@@ -0,0 +1,32 @@
+```mermaid
+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
+```