حل تمرین(پایتون+ sql): Spatial Databases Task Spatial indexing of text documents with Named Entity Recognition (NER) and Geocoding.

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Instructions for Spatial Databases Task
The aim of the assignment is to geocode (i.e. find the coordinates) of the place
names (toponyms) in the provided set of photo captions and to use the resulting
coordinates to create an Oracle Spatial Database, along with a GIS (QGIS or
ArcGIS) project that can be used to map the data.
The task requires the use of the SpaCy named entity recognition function to detect
the presence of the place names in each caption and the use of the GeoPy library to
geocode the detected places. The final question allows you to use a different NER
tool.
You are provided with a json file called json-capLatLong.json that lists the photo
caption, the ground truth toponym, the guide coordinates as latitude and longitude,
and the full address of the disambiguated toponym for each caption.
There are 7 questions for the Spatial Databases task.
Python scripts MUST be submitted for Questions 1, 2, 3, 4 and 7 of the Spatial
Databases component and they must have names of the form PartB_[student
number]-SQn.py where n in SQn is the number of the question and StudentNumber
is your student number. Thus for spatial databases Question 1, if your student
number is c123456 the script must be called PartB_c123456-SQ1.py
For questions 1, 2, 3 and 4 the only library installs that can be required for your
Python scripts are spacy and geopy

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