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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?

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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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