Analyze data with Watson Explorer
You can analyze the data in a collection with the Watson™ Explorer Content Miner or via the Python API in a Jupyter noteboow.
You can analyze the data in a collection with the Watson Explorer Content Miner. To do this, open the Watson Explorer collections in a project, confirm that indexing has finished, and then click the collection. you can now analyze the collection as described in Mining content . keep in the mind the differences described in Watson Explorer oneWEX tasks.
You can also access the collection via the Python API in a Jupyter notebook as shown below.
- Create or open a notebook.
- Click Find and Add Data () in the toolbar, and then select the Other tab.
- You can insert the code to access the collection or to extract features.
Here is an example of inserted code to get the exploration interface.
# import wex library import ibmwex # Create a client instance api_client = ibmwex.ApiClient() # Get exploration interface api_exploration = ibmwex.ExplorationApi(api_client) # execute query and get results results_1 = api_exploration.query('ecbffdca-e1f2-c0ad-0000-0165131cedaa', '*:*')
Here is an example of inserted code for feature extraction.
#In earlier cells, there has to be insert code for WEX collection #Insert code for WEX feature extraction from ibmwex.ml import FeatureExtractor, OutputColumn extractor_1 = FeatureExtractor() \ .setCollectionId('ecbffdca-e1f2-c0ad-0000-0165131cedaa') \ .setInputCol("INPUT_COLUMN_NAME") \ .setOutputCols([OutputColumn("words", "._word")])
- You can access the collection with the inserted code.