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by Smruthi Raj Mohan, Srikanth Manne, Manjula G Hosurmath | Published April 10, 2019
The World Wide Web is the universe of network-accessible information. All of this information is present in a raw format on the web. What if you wanted a way to ingest raw information on the web, for any given topic, and provide insights and visualizations for the same? This code pattern will show you how to do that using an example of performing analytics on startup companies.
Suppose we want to understand current startups in a particular technology like say machine learning. This code pattern will evaluate its impact in the industry, on the basis of:
Once the unstructured data is scraped, it’s processed through Watson Natural Language Understanding and converted to structured data. This is fed to SPSS, which can be used to understand the data and perform analytics to determine if all the factors (as mentioned above) appear in a company; thereby, computing a popularity score. Once all of the analytics is performed, this code pattern also provides a user friendly and interactive dashboard visualization of the data–providing insights of the data and helping to simplify the decision making process.
After completing this code pattern, you’ll understand how to:
NOTE: Company names have been replaced with names of plants for this code pattern.
Get the detailed instructions in the README file. These steps will show you how to:
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