Introducing Table Explorer: Enhanced Table Extraction and Analysis Across Time

At Sentieo, we are always striving to give fundamental managers the tools to make better decisions faster. Table Explorer (TableX), the next iteration of our suite of table analysis tools, was developed with this vision in mind.  

Model-building is an essential part of the investment process of fundamental managers. Models afford them the ability to develop a deep and differentiated understanding of the machinery of a business, via the interplay between revenues, expenses, and capital accounts. Models also allow for a parameterized flex of assumptions for establishing a differentiated view on a company’s earnings prospects and — by extension — the value of the business overall.

While modeling is critical to the process, the investment world is increasingly driven by algorithm-enabled trading and the large data science departments of multi-billion-dollar hedge funds. Therefore, managers are obligated to pay close attention to the areas where modeling and data visualization can happen faster, and more accurately.

At Sentieo, we believe in an augmented investing approach that uses machine learning and data science to add value to a human-driven investing process.

We’ve rebuilt our table suite from the ground up using a machine learning driven approach validated by trained financial analysts. The new TableX enables Excel-style visualization directly from company filings in a dual-pane window, showing both the Excel data and the source document side by side, enabling an immediate audit of every number.

We’ve added the ability to quickly plot discrete line items in the same window, enabling simple thesis exploration either as a complement or antecedent to further model work. We’ve also added inline calculations to impute fourth-quarter numbers from 10K data, common size analysis, and YoY or QoQ percentage changes. And we show a table of contents of all tables in a document to speed up navigation through company filings.

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Then, we integrated TableX with our Plotter app, to further facilitate regression analysis of fundamental metrics like revenue with other metrics like exogenous macroeconomic data or website traffic.

We also integrated TableX with our Notebook app to facilitate thesis sharing among a team or when reporting to a portfolio manager. These workflow tools help money managers develop ideas faster and stay more organized with their ideas.

Lastly, we facilitate export to Excel so that the audited financial data can be used as a backing database for your own models.  We include links back to the document in the export, and in future releases, we will enable “one-click” refreshing of base data sheets in models.

The end goal of Table Explorer is to give fundamental money managers the tools to observe-orient-decide-act faster, in order to win in a high velocity investing landscape. Get a free trial of Sentieo here, or tell us what you think of the new TableX!

4-Minute Videos on How to Use Table Explorer:

Navigating Table Explorer:

Common Size Analysis in Table Explorer:

Get a free trial of Sentieo here, or tell us what you think of the new TableX!

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Introducing Sentieo Relevance Search

Sentieo’s overarching mission is to augment human decision-making through the application of the latest technologies. We are proud to demonstrate this with our most recent improvement to the platform:

Sentieo Continues to Lead In Search Tech with Relevance Search

Clients already love our smart Document Search, which offers:

  • tens of millions of documents, searchable across many dimensions
  • 1000+ synonyms/acronyms
  • extended Boolean operators and proximity
  • in-section/in-table/in-footnote searches
  • saved search alerts
  • extensive document tagging including sell-side report classifications
  • search statistics for quantifying trends
  • seamless integration into notes, and much more.

The newly released Relevance scoring algorithm, custom-built by our global team of data scientists, will surface documents most likely to be relevant to your search based on multiple factors derived from the statistical properties of the documents and the queries. For example, some of the factors considered are density within the document (inclusive of synonym matches), clustering, and recency. Relevance scoring is based on true machine learning and will only improve as Sentieo DocSearch “learns” over time. It gives you, the user, more time to focus on analysis where you add value, rather than on tedious searches.

But we didn’t stop there. Another new sorting option is Sorting by Hits — because we know that sometimes you need the most recent documents at the top, sometimes you need the document with the most hits (mentions), and sometimes you need the one that is the most relevant. You can now toggle between these sorting options in one click, which allows you to compare the results before you dive in. You can also sort by document size and by ticker for your multi/all ticker searches. You are in control of the format that fits your needs.

Users will find relevance searches suitable for broad initial overviews of topics: your search might pick up sector primer reports from the sell side, or a very topical deck from a corporate. Users more familiar with a topic might still prefer the reverse-chronological order of documents for the latest on the topic. And, for people getting specifically into details, we have the specialized searches, such as in-transcript, said-by-the-CEO, or in-table searches that let you find the numbers around your topic within seconds.

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And there is still a lot more to come. The 2019 Document Search product pipeline is better than ever, and you will see additional applications of AI/ML coming soon!

 

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Introducing Sentieo’s Game-Changing Transcript Sentiment and Linguistic Analysis Features

Over the last year, the Sentieo team has been investing heavily in NLP & data science. We were very excited to release the Sentieo’s Transcript Intelligence Report, which is the first of many features built on a powerful new technology that lets us dissect documents and help you find insight.

There is signifcant amount of academic research that supports the idea that changes in sentiment among those in company management, as well as those working as analysts, do indeed have some relationship with stock returns.

Management is typically a negative predictor of stock returns. When management seems overly excited about the future, this may indicate that the stock will underperform. (See “Manager Sentiment and Stock Returns,” Journal of Financial Economics). On the other hand, when investor sentiment is low, subsequent returns are relatively high on a subset of stocks (high volatility stocks, unprofitable stocks, non-dividend-paying stocks, extreme-growth stocks, and distressed stocks), consistent with an initial underpricing of these stocks. (See “Investor Sentiment in the Stock Market,” Journal of Economic Perspectives).

Our Transcript Intelligence Report provides automatic analysis on how sentiment and keywords for a given company have changed across quarters. The analysis easily splits out Management Sentiment vs. Analyst Sentiment. Let’s use Netflix as our example.

First, we open up Sentieo Document Search and search for Netflix transcripts. We choose a transcript in the left hand navigation, and see a “View Linguistic Intelligence Report” button at the top of the document in the right hand pane.

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We’re taken to the full Transcript Analysis page, and can now dive into the analysis!

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Sentiment Scores

Sentiment scores are generated by tagging each word in the document as positive, negative, or neutral using a dictionary designed for financial documents and applying a formula to generate a score for each section. The formula for sentiment is below:

The number (typically a decimal value below 0.1) is a percentage that should be considered on a relative basis, rather than absolute.

Management Sentiment

The following chart shows sentiment for Management commentary and Q&A answers on eight quarters of earnings calls. Sentiment is calculated as positive word % of total words – negative word % of total words.

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Analyst Sentiment

The following chart shows sentiment for Analysts from the Q&A section of eight quarters of earnings calls. Sentiment is calculated as positive word % of total words – negative word % of total words.

 

 

 

Management-Analyst Sentiment Spread

The following chart shows the historical spread between Management and Analyst sentiment.

The spread between the two would suggest divergences in sentiment. For example, if the spread turned negative, then it is possible that management has turned less bullish while analysts have remained bullish, thereby signaling the potential for management to disappoint in future periods.

 

 

 

Conference Calls Sequential Comparison Word Cloud

The comparison word cloud shows the biggest changes in average keyword frequency between the 2018-04-16 conference call and the 2018-01-22 conference call for NFLX.*

 

 

 

 

Analyst vs Management: Keyword Differences

This is another comparison cloud showing the major average differences between management and analyst keywords on the 2018-04-16 conference call.

 

Management Top 15 Keywords

This table shows the top 15 keywords by frequency referenced in the past eight quarters of earnings calls. This provides a visual view at a glance into what is being discussed on the earnings calls over time.

 

 

 

Analysts Top 15 Keywords

 

 

 

Sign up for a free trial of Sentieo to get the sentiment report for Netflix and any other ticker you follow.

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Fintech Innovator Sentieo Launches Game-Changing Data Search Technology

To sign up for a free trial- click here.

SAN FRANCISCO and NEW YORK, May 11, 2016 /PRNewswire/ — Today two brothers, Alap and Naman Shah, unveiled Sentieo, a powerful equity research platform that arms financial analysts with new ways to quickly search, visualize, and interpret data allowing them to do deeper, faster research, spot business inflections earlier, and generate better returns.

Sentieo has been quietly building momentum for over three years leading up to today’s official launch, offering a lightning fast, thoughtfully designed web and app based interface developed by Sentieo’s team of 40 engineers, which is already speeding up the workflow of more than 60 clients. Sentieo’s clients include two of the top ten hedge funds, as well as numerous top mutual funds, investment banks, financial advisors, research houses, and corporate development departments.

Sentieo is first and foremost a search engine, focusing its natural language processing (NLP) and deep semantic search technology on an exhaustive database of global financial documents. Users can instantly search SEC filings, transcripts, broker research, and news to find key text and data. Users may then pull data using Sentieo’s table extraction technology and highlight and annotate key text and figures on the fly. All work performed on the platform pushes into the user’s cloud-based Sentieo Notebook that serves as a light-touch Research Management System (RMS) for organizing and collaborating on research content. Additional content can be pulled in via email and Sentieo’s browser extension webclipper, becoming instantly available in the user’s Sentieo Notebook that is accessible from a user’s desktop, iPad and iPhone apps, and via Sentieo’s Excel Plugin.

“The magic of Sentieo is that it understands and caters to an analyst’s workflow, allowing you to centralize activities previously performed in Excel, Evernote/OneNote, chat, document search, and your financial terminal, all in a single, seamless platform,” said Sentieo CEO Alap Shah.

While working as a hedge fund analyst covering consumer equities at Viking Global Investors and in Citadel’s Global Equities business, CEO Alap Shah realized that existing financial data platforms were unable to keep up with his need to process information about hundreds of companies and positions every day. The seed of Sentieo was planted, resulting in a platform built from the user’s point of view, automating key processes and ensuring timely alerts on key textual and contextual changes in documents and data. Sentieo’s key services have been architected with a user first philosophy by a world-class team of Product Managers with previous Analyst and Portfolio Manager experience at top buy-side shops including Balyasny Asset Management, Pine River Capital Management, Scout Capital, Casablanca Capital, and Citigroup’s prop trading desk, as well as investment banking experience from JPMorgan, Lazard, and Standard Chartered Bank.

Employing the latest in machine learning and predictive analysis, Sentieo’s new Mosaic service stands at the forefront of the growing “Quantamental” investing trend, arming fundamental investors with quant tools to help forecast demand and price movements. By tracking, scrubbing, and visualizing key company/brand data such as website traffic, search volumes, Twitter mentions, app downloads and more, Mosaic allows analysts to correlate web interest to revenue growth and price performance, driving a significant alpha generation edge. Freeing analysts from tedious work in Excel and removing the need for in-house engineers, Mosaic allows funds to track and maximize the benefit from all the valuable datasets they acquire or create.

Sentieo further alters the fintech landscape with a range of unique features, including:

A desktop built for the web and cloud, architected using the most recent web frameworks with no software to download or maintain;
Mobile applications (iPad, iPhone and Android) designed simultaneously with the core desktop platform to offer a full range of services with seamless transitioning and sync across devices;
World class collaboration technology using the Sentieo Notebook, as well as collaboration centralization, reporting and audit for CTOs and compliance officers.
“Sentieo works the way a modern financial platform should. It not only generates better search results faster, it incorporates a broader and more complex combination of financial and real-world datasets to produce a more revealing picture of what’s actually happening in the real world,” said Alap Shah.

To create Sentieo, Alap partnered with his brother, Naman Shah, Sentieo’s president. Previously, Naman developed breakthroughs in low-cost reverse osmosis filtration technology, water delivery networks, and cloud technology as co-founder of Sarvajal, a social enterprise that provides clean drinking water to over 300,000 underserved villagers in India. Together Naman and CTO Rajdeep Singh have built a world-class team of engineers and designers that drive the rapid pace of Sentieo’s product innovation.

“We wanted to take a new approach to a field that isn’t innovating fast enough, and discard all assumptions,” said Naman Shah. “It’s not only about what users want, it’s also about what they don’t yet know they want. By combining institutional quality financial data with the most advanced analytical technology, we built something that is more useful than existing tools and effortlessly intuitive.”

For more information on Sentieo, visit https://www.sentieo.com/.

About Sentieo
Sentieo is a revolutionary equity research platform designed by hedge fund analysts determined to put the user first. Combining traditional and innovative datasets, it increases efficiency and boosts alpha generation for asset managers, investment banks, and corporations. Serving a global customer base, Sentieo has a team of 60 with offices in San Francisco, New York, Florida, and New Delhi, India.

To sign up for a free trial- click here.

Reposted from: http://www.prnewswire.com/news-releases/fintech-innovator-sentieo-launches-game-changing-data-search-technology-300266904.html

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