Monitoring the news to inform investing
Context
I work at an investment firm, combing through news articles about public companies. But these stories pile up faster than I can scan their headlines.
How can I get a faster overview of the discussion, so I can focus on strategy?
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01. Ingest
I've built a program that constantly scrapes the web for new press about Exemplar Inc, a company in my portfolio. I'll upload a sample of my documents to Pienso Ingest, making sure to indicate which column contains the "publication date" info.
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02. Fingerprinting
I want to create a taxonomy that identifies all the topics that come up when Exemplar Inc is in the news — so I'm going to use my ingested data to train a Pienso Fingerprint model.
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03. Deploy
Now, I'll use Pienso Deploy to apply my completed Fingerprint model (along with Sentiment Polarity and Emotion Tagging models) to both historic and incoming articles from my data pipeline.
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04. Dashboard
I'll visualize all these scored documents in the Pienso Dashboard, where I can assess which topics are waxing or waning, and what the predominant tone is surrounding each one.
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05. Outcomes
Now if there's a big spike in good or bad press for Exemplar Inc, I'll see it happen in real-time — and I'll be able to make a corresponding investment decision faster than my competitors.
Plus, I now have the bandwidth to make new models and dashboards for all the other companies on my radar!
After a few months, the 'Unclassified' category in my Exemplar Inc. dashboard is much larger than it used to be. This is my cue to reevaluate my taxonomy: I'll extract a new set of training data and start again from the beginning — but using my current taxonomy as a starting point.
01
Ingest
01 Ingest
Pienso Ingest lets you prepare your raw text for use as training data, whether it's structured or unstructured.
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02
Explore
02 Explore
Pienso Explore lets you search a data set for documents that match your interest.
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03
Annotate
03 Annotate
Pienso Annotate empowers you to convert your data sets from unstructured to structured — without manually labeling a single document.
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04
Fingerprinting
04 Fingerprinting
Pienso Fingerprinting is an interactive semi-supervised approach to training generative models.
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05
Deep Learning
05 Deep Learning
Pienso Deep Learning uses labeled training data to create a powerfully accurate topic model.
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06
Analysis
06 Analysis
Pienso Analysis lets you use a finalized Fingerprint or Deep Learning model to investigate a data set through an array of granular views.
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07
Dashboard
07 Dashboard
Pienso Dashboard lets you monitor the results of your Fingerprint or Deep Learning models in real-time as they score new documents as part of your Pienso API Deployment.
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08
Deploy
08 Deploy
Pienso Deploy is a UI-driven API deployment manager. Use it to put your models on an API production slot that you can send your live data to for scoring.
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