Alternative Data News. 14, August 2019

Finding sources and uses for alternative data can be difficult. At CloudQuant we regularly read and search the internet for new sources of data that can be used in our mission to find alpha signals and build quantitative trading strategies. We recognize that we are technology and data junkies so we wrote our own crawler that specifically seeks out web pages, posts, and news articles that give us a snapshot of what is going on in the world of Alt Data. The following is a collection of articles that we think you will find interesting from the past week.

University Research Teams Open-Source Natural Adversarial Image DataSet for Computer-Vision AI

Research teams from three universities recently released a dataset called ImageNet-A, containing natural adversarial images: real-world images that are misclassified by image-recognition AI. When used as a test-set on several state-of-the-art pre-trained models, the models achieve an accuracy rate of less than 3%. (Source: InfoHQ)
2019-08-13 16:57:56+00:00 Read the full story…
Weighted Interest Score: 6.3253, Raw Interest Score: 2.4096,
Positive Sentiment: 0.3012, Negative Sentiment 0.6024

CloudQuant Thoughts: Every step forward in improving AI identification of images is helpful. Researchers have shown that it is possible to modify a stop sign in a way that will cause autonomous cars to think it is a yield sign. Improving image recognition has huge benefits for alternative data in investing. We will have better classifications of data in satelite and image derived data. Decisions can be improved with better quality data.

Alternative Data is the Key to Investor Success

Today’s hedge fund managers and analysts are increasingly shifting their gaze toward alternative data as a linchpin asset to drive investment decisions. In fact, seventy-eight percent of hedge funds are currently using or are expecting to use alternative data (per Ernst & Young, up from 52% in 2016).

Hedge funds seek alternative data sets because they want a unique view of the market or a business or industry. Historically, analysis of traditional data – SEC filings, quarterly earnings, press re…
2019-08-13 00:00:00 Read the full story…
Weighted Interest Score: 6.1485, Raw Interest Score: 2.4215,
Positive Sentiment: 0.2291, Negative Sentiment 0.0327

CloudQuant Thoughts: The expansion of alternative data into investing and trading has been growing. We are aware of the challenges that portfolio managers, data scientits, and quantitative traders have in assimulating the huge number of data sets. The person onboarding the altdata set has to deal with issues that include:

  • Symbology mapping
  • Natural Language Processing
  • Bi-Temporal time series mapping and anlysis
  • Large quantities of new datasets

FactSet rolls out DataRobot artificial intelligence tool for investment workflow

FactSet has adopted an artificial intelligence (AI) solution from specialist FinTech firm DataRobot for its workstations to enhance investment workflow capabilities.

Users of the FactSet workstation will be able to build and deploy their own machine learning models for workflows such as equity volatility, bond performance, and macroeconomic event predictions, according to the vendor.

Existing client workflows and data within the FactSet platfor…
2019-08-07 13:21:39+01:00 Read the full story…
Weighted Interest Score: 5.8020, Raw Interest Score: 2.2203,
Positive Sentiment: 0.5978, Negative Sentiment 0.0854

So You Want to be a Machine Learning Engineer?

Ideally, a machine learning engineer would have both the skills of a software engineer and the experience of a data scientist and data engineer. However, data scientists and software engineers usually come from very different backgrounds, and data scientists should not be expected to be great programmers, nor should software engineers be expected to provide statistical summaries. Nonetheless, a background in machine learning algorithms and how they can be implemented is critical to the machine learning engineer (MLE).

An MLE works with …
2019-08-14 07:35:54+00:00 Read the full story…
Weighted Interest Score: 4.3545, Raw Interest Score: 1.9963,
Positive Sentiment: 0.2315, Negative Sentiment 0.0964

Data Governance and Data Science: What is the Intersection?

With the rising concern surrounding the manipulation of data and misuse of statistical methods in Data Science, it is becoming imperative that strong Data Governance policies and practices are put in place to curb any degeneration of data and the scientific methods used to arrive at data-driven conclusions.

Data Governance (DG) is expected to play a key role in future Data Science (DS) practices as it offers phased, validity checks at multiple p…
2019-08-07 07:35:38+00:00 Read the full story…
Weighted Interest Score: 4.2655, Raw Interest Score: 2.3378,
Positive Sentiment: 0.2104, Negative Sentiment 0.3507

Tradition partners with Numerix for FX data expansion

Interdealer broker Tradition has teamed up with analytics specialist Numerix to expand the quality and depth of its FX market data services.

Numerix is working with TraditionDATA, the information services arm of Tradition, to deploy its analytics and create data on volatility for more than 130 currency pairs.

The expansion will allow Tradition’s clients to source data from the broker in various FX products, including spot data from its ParFX tr…
2019-08-12 11:47:48+01:00 Read the full story…
Weighted Interest Score: 4.0655, Raw Interest Score: 1.7451,
Positive Sentiment: 0.1586, Negative Sentiment 0.0000

What Can We learn From Scale’s Rise To Prominence

If one is to list the top 5 challenges of building machine learning models, then the first four would probably contain whinings about lack of clean data.

A machine learning model is as good as the data it is fed. Regardless of being called as black box models or magic boxes, the results depend on how clean the input data is.

Not succumbing to this challenge of clean data, many unsupervised and semi-supervised techniques were developed over the …
2019-08-14 04:48:38+00:00 Read the full story…
Weighted Interest Score: 3.4386, Raw Interest Score: 1.6262,
Positive Sentiment: 0.2602, Negative Sentiment 0.1735

The hidden risk of AI and Big Data

The hidden risk of AI and Big Data

Recent advances in AI have been made possible through access to “Big Data” and cheap computing power. But can it go wrong?

Big data is suddenly everywhere. From scarcity and difficulty to find data (and information), we now have a deluge of data. In recent years, the amount of available data has been growing in an exponential pace. This is in turn made possible due to the immense growth in number of devices re…
2019-08-14 11:46:49.706000+00:00 Read the full story…
Weighted Interest Score: 3.3651, Raw Interest Score: 1.5306,
Positive Sentiment: 0.1962, Negative Sentiment 0.2649

Cultivated data is the next Gold Rush – TechCrunch

Five years ago, Frank Meehan, my SparkLabs Global Ventures co-founder, described the goal of our seed-stage fund as follows:

“The future is data. We are looking to invest in companies that are generating valuable data around usage patterns, customer behavior, company information.”

It was prescient — it has guided us well over the years, but also allowed us to look at relevant startups with a critical eye. During the first three years of our fun…
2019-08-08 00:00:00 Read the full story…
Weighted Interest Score: 3.2447, Raw Interest Score: 1.7685,
Positive Sentiment: 0.1608, Negative Sentiment 0.1169

Top Alternatives To AWS Lake Formation

We recently covered an article on AWS Lake Formation and how it is going to make dealing with big data and large databases quite easy. While it recently announced the general availability of Lake formation to help developers, it’s not the only data lake available for developers to run their analytics and machine learning algorithms.

In this article, let us check out a few alternatives of AWS Lake Formation that have been enabling data scientists…
2019-08-14 06:30:42+00:00 Read the full story…
Weighted Interest Score: 3.0933, Raw Interest Score: 1.8626,
Positive Sentiment: 0.4596, Negative Sentiment 0.0484

Alteryx’s CFO: Cloud Adoption Is a Tailwind For Us

Even by enterprise software standards, Alteryx’s (AYX – Get Report) stock has been a standout: It’s up about 500% over the past two years, and has risen 128% thus far in 2019.

Alteryx’s software platform effectively serves as the backbone for many corporate analytics and data science projects. Among other things, it lets users (including non-technical ones) discover, prepare, cleanse and ultimately analyze data from a variety of sources, as well…
2019-08-13 21:26:59-04:00 Read the full story…
Weighted Interest Score: 3.0174, Raw Interest Score: 1.7936,
Positive Sentiment: 0.1339, Negative Sentiment 0.0669

A 2019 Guide to Semantic Segmentation

Semantic segmentation refers to the process of linking each pixel in an image to a class label. These labels could include a person, car, flower, piece of furniture, etc., just to mention a few. We’ll now look at a number of research papers on covering state-of-the-art approaches to building semantic segmentation models.

By Derrick Mwiti, Data Analyst.

Semantic segmentation refers to the process of linking each pixel in an image to a class …
2019-08-20 00:00:00 Read the full story…
Weighted Interest Score: 3.0009, Raw Interest Score: 1.6966,
Positive Sentiment: 0.2030, Negative Sentiment 0.0870

We Want To Make Hiring Cycle Shorter & More Efficient With Data Analytics:’s Madhukar Kumar

This week we talked to Madhukar Kumar, Chief Analytics Officer at who has over 13 years of experience in the data science industry and he has been consulting across a multitude of both global clients and verticals.

Apart from his corporate life, Kumar is also interested in Academics and teach data science at various universities and spends a considerable amount of time nurturing future data scientists across the globe.

In this interac…
2019-08-14 11:47:42+00:00 Read the full story…
Weighted Interest Score: 2.9950, Raw Interest Score: 1.5071,
Positive Sentiment: 0.3989, Negative Sentiment 0.2660

Data Delivery vs. Amazon Delivery: Making Data Scientists More Efficient

Click to learn more about author Dipti Borkar.

If Amazon can deliver an order in 1 hour, why does it take days or weeks for data scientists to access their datasets? Embrace chaos, embrace data silos, orchestrate, and deliver.

As I head to AWS Summit today, I’ve been thinking about the beginnings—how it began for Amazon, and the magic that made it happen.

Turns out, there are quite a few similarities between how Amazon fulfills its product orders and data working sets that a data engineer needs to make available to data scientists and analysts. To begin w…
2019-08-13 07:30:58+00:00 Read the full story…
Weighted Interest Score: 2.7050, Raw Interest Score: 1.2680,
Positive Sentiment: 0.1691, Negative Sentiment 0.0211

10 Steps to your very own Corporate A.I project

10 Steps to your very own Corporate A.I project

A non-technical guide for managers, leaders, thinkers and dreamers

Much like the rest of the world, A.I has a 1% problem.

While (very) large corporations benefit from the vast amount of data available to them, as well as a combination of business, technological and regulatory expertise, most SMEs have no such luck.

This should however not discourage the brave and bold who seek to embark on a dat…
2019-08-12 17:44:57.517000+00:00 Read the full story…
Weighted Interest Score: 2.6902, Raw Interest Score: 1.2742,
Positive Sentiment: 0.2260, Negative Sentiment 0.2116

Leonovus Announces the Release of its Free Data Discovery Tool

A new press release reports, “Leonovus Inc., announces the release of its free Data Discovery Tool, which is storage hardware and cloud vendor agnostic. ‘Leonovus Data Discovery Tool provides the information needed by IT infrastructure managers to optimize and reduce their data storage costs. Many organizations use expensive on-premises storage infrastructure for all data, regardless of how frequently they access it. Using high-performance storag…
2019-08-14 07:15:05+00:00 Read the full story…
Weighted Interest Score: 2.5641, Raw Interest Score: 1.4300,
Positive Sentiment: 0.0986, Negative Sentiment 0.0000

Building Your Data Science Technology Stack

Building Your Data Science Technology Stack

Sometimes your workflow is as important as your human capital

The tech stack for Data Science teams is misunderstood by companies of all sizes. Oftentimes there is a failure to understand what tooling is necessary for what jobs. Fortunately, most trends in technology result in standardized workflows across industry. As of yet, this seems to have been limited in the Data Science world. There isn’t a cl…
2019-08-14 10:56:16.896000+00:00 Read the full story…
Weighted Interest Score: 2.4828, Raw Interest Score: 1.3294,
Positive Sentiment: 0.1477, Negative Sentiment 0.1723

Transforming the bank to an Open API Ecosystem

1. Introduction

“Open” has recently become a new buzzword in the financial services industry, i.e. open data, open APIs, open banking…​, but what does this new buzzword really mean?

“Open” refers to the capability of companies to expose their services to the outside world, so that external partners or even competitors can use these services to bring added value to their customers. This trend is made possible by the technological evolution of op…
2019-08-13 21:09:05 Read the full story…
Weighted Interest Score: 2.4649, Raw Interest Score: 1.3790,
Positive Sentiment: 0.2861, Negative Sentiment 0.1832

Google devises conversational AI that works better for people with ALS and accents

Google AI researchers working with the ALS Therapy Development Institute today shared details about Project Euphonia, a speech-to-text transcription service for people with speaking impairments. Researchers also say their approach can improve automatic speech recognition for people with non-native English accents.

People with amyotrophic lateral sclerosis (ALS) often have slurred speech, but existing AI systems are typically trained on voice dat…
2019-08-13 00:00:00 Read the full story…
Weighted Interest Score: 2.4338, Raw Interest Score: 1.1956,
Positive Sentiment: 0.3416, Negative Sentiment 0.2989

Exclusive: These five U.S. stocks are most vulnerable to an activist attack

Food delivery firm Grubhub, industrial heavyweight 3M and consumer products giant Colgate-Palmolive are all vulnerable targets for activist investors, according to exclusive data.

The trio along with software company Autodesk ADSK, +1.97% and dental equipment manufacturer Dentsply Sirona XRAY, +2.08% have been identified as possible activism targets in a report for MarketWatch by research firm Activist Insight.

The research firm, which analyses…
2019-08-14 00:00:00 Read the full story…
Weighted Interest Score: 2.3929, Raw Interest Score: 1.2437,
Positive Sentiment: 0.2047, Negative Sentiment 0.4251

Kasten raises $14 million for app backup and recovery services

Kasten, which bills itself as an enterprise-scale and cloud-native data management company, today announced that it’s raised $14 million in series A funding led by Insight Partners, bringing its total raised to $17 million to date. CEO Niraj Tolia says the infusion will accelerate the growth of the Los Altos, California-based startup’s sales, engineering, and marketing departments and the expansion of its research and development center in Salt L…
2019-08-13 00:00:00 Read the full story…
Weighted Interest Score: 2.3839, Raw Interest Score: 1.5056,
Positive Sentiment: 0.4705, Negative Sentiment 0.3450


hare your concerns. It’s time Seattle contributes to the national need to find solutions to the horror of dead children and adults in our schools, malls, and events.

Here’s how you can help: we need data engineers and researchers.

If you have Python, AI, Natural Language Processing, and Deep Learning skills please join us.

If you’d like to help us do some interesting research on school shooting and mass shooting case studies we need you. All you need as a researcher is a lap top and desire to get America back on the road to healing.

Our children should ever have to be afraid to go to school. No family …
2019-08-13 20:07:19-07:00 Read the full story…
Weighted Interest Score: 2.2989, Raw Interest Score: 1.4315,
Positive Sentiment: 0.0000, Negative Sentiment 0.3067

How VAEs Can Flourish In Any Machine Learning Setting

Variational Autoencoders (VAE) came into limelight when they were used to obtain state-of-the-art results in image recognition and reinforcement learning. VAEs consist of encoder and decoder network, the techniques of which are widely used in generative models.

Encoders can be seen in CNNs too, they convert an image into a smaller dense representation which is fed to the decoder network for reconstruction.

For example, one can see in the above …
2019-08-13 12:30:02+00:00 Read the full story…
Weighted Interest Score: 2.2866, Raw Interest Score: 1.5870,
Positive Sentiment: 0.2174, Negative Sentiment 0.2609

How to Make a Scatter Plot in Python using Seaborn –

How to Make a Scatter Plot in Python using Seaborn

Data visualization is a big part of the process of data analysis. In this post, we will learn how make a scatter plot using Python and the package Seaborn. In detail, we will learn how to use the Seaborn methods scatterplot, regplot, lmplot, and pairplot to create scatter plots in Python.

If you are interested in learning about more Python data visualization methods see the post “9 Data Visuali…
2019-08-05 17:34:34+00:00 Read the full story…
Weighted Interest Score: 2.2623, Raw Interest Score: 0.9836,
Positive Sentiment: 0.0246, Negative Sentiment 0.1557

Could The Ashok Leyland Limited (NSE:ASHOKLEY) Ownership Structure Tell Us Something Useful?

The big shareholder groups in Ashok Leyland Limited (NSE:ASHOKLEY) have power over the company. Institutions will often hold stock in bigger companies, and we expect to see insiders owning a noticeable percentage of the smaller ones. Companies that used to be publicly owned tend to have lower insider ownership.

With a market capitalization of ₹189b, Ashok Leyland is a decent size, so it is probably on the radar of institutional investors. Our an…
2019-08-13 10:24:50+10:00 Read the full story…
Weighted Interest Score: 2.2303, Raw Interest Score: 1.4160,
Positive Sentiment: 0.1287, Negative Sentiment 0.1287

Repeated Measures ANOVA in R and Python using afex & pingouin

Repeated Measures ANOVA in R and Python using afex & pingouin

In this post we will learn how to carry out repeated measures Analysis of Variance (ANOVA) in R and Python. To be specific, we will use the R package afex and the Python package pingouin to carry out one-way and two-way ANOVA f or within subject’s design. The structure of the following data analysis tutorial is as follows; a brief introduction to (repeated measures) ANOVA, carrying ou…
2019-08-12 09:24:19+00:00 Read the full story…
Weighted Interest Score: 1.9178, Raw Interest Score: 1.1834,
Positive Sentiment: 0.0272, Negative Sentiment 0.0544

Ookla: Analyzing the New T-Mobile’s spectrum position

When it comes to spectrum, T-Mobile US could hardly have found a better fit than Sprint, according to analysis from Ookla on the spectrum position of the New T-Mobile.

Milan Milanovic, Ookla’s technologist evangelist, said that particularly when it comes to PCS spectrum in major markets, there is “staggering” contiguity in Sprint and T-Mobile US’ holdings. Milanovic assessed the yet-to-be-officially combined company’s spectrum position and that …
2019-08-09 00:00:00 Read the full story…
Weighted Interest Score: 1.8616, Raw Interest Score: 1.0566,
Positive Sentiment: 0.2264, Negative Sentiment 0.1006

Exploring Football Summer Transfer Activity with Pandas

Exploring Football Summer Transfer Activity with Pandas

Transfer Dealings of the Top 25 Biggest Spending Football Teams in Europe

Courtesy of the Financial Times

Useful Pandas Features to Explore Summer Transfers

The summer transfer window offers football teams in Europe the chance to recruit key players to strengthen their respective squads for the forthcoming season. Fringe and disruptive players can also be cast aside and loannees dispatch…
2019-08-14 10:56:11.073000+00:00 Read the full story…
Weighted Interest Score: 1.5715, Raw Interest Score: 0.9985,
Positive Sentiment: 0.1801, Negative Sentiment 0.1473

Alternative payments applications of blockchain technology

According to Deloitte’s 2019 global blockchain survey, 83 percent of market participants see strong use cases for blockchain technology in the industry today.

Though a majority of respondents also called it a top-five priority for development, just 23 percent have implemented a deployment. The report highlights that the sectors which could boost blockchain acceptance, and where it could have the most impact, can be found in trade finance, invoic…
2019-08-12 00:00:00 Read the full story…
Weighted Interest Score: 1.4667, Raw Interest Score: 0.9647,
Positive Sentiment: 0.2511, Negative Sentiment 0.1982

YC-backed startup Binks can ship custom-made clothing to Indian women in just three days – TechCrunch

Binks is a custom clothing startup created after co-founder and CEO Aamna Khan realized how frustrating it is to find well-fitting women’s workwear in Indian cities. Currently participating in Y Combinator’s accelerator program, Binks solves the problem by using computer vision and machine learning to provide customers with clothing sewn to their measurements, shipped in just three days.

Khan says shopping online is often difficult because a sta…
2019-08-13 00:00:00 Read the full story…
Weighted Interest Score: 1.4592, Raw Interest Score: 0.7943,
Positive Sentiment: 0.1288, Negative Sentiment 0.1503

Amazon’s Prime Day promotion pumped up July’s total retail sales, BofA says

Boxes sealed with Prime Day tape move along a conveyor ahead of shipping from an Inc. fulfilment center during the online retailer’s Prime Day sales promotion day in Koblenz, Germany, on Monday, July 15, 2019.

Amazon’s Prime Day and promotions by other retailers appear to have given a meaningful pop to July retail sales, which could be stronger than economists’ forecasts, according to Bank of America Merrill Lynch economists.

2019-08-13 00:00:00 Read the full story…
Weighted Interest Score: 1.4529, Raw Interest Score: 1.0020,
Positive Sentiment: 0.3006, Negative Sentiment 0.0000

PyDev of the Week: Raphael Pierzina

This week we welcome Raphael Pierzina (@hackebrot) as our PyDev of the Week! Raphael is a core developer of pytest, a popular testing framework for Python. You can learn more about Raphael by visiting his blog or checking out his Github profile. Let’s take a few moments to get to know Raphael!

Can you tell us a little about yourself (hobbies, education, etc)

My background is in 3D visualization and animation. After graduating from university wi…
2019-08-12 00:00:00 Read the full story…
Weighted Interest Score: 1.4244, Raw Interest Score: 0.9332,
Positive Sentiment: 0.2210, Negative Sentiment 0.0737

Trees Can Slow Global Warming But Not For Much Longer

Trees help keep our planet as healthy as possible. They clean the air humans breathe, slowing climate change by absorbing roughly a quarter of all human-driven carbon dioxide emissions. However, it’s unlikely that trees can slow global warming for much longer, a new study suggests, due to deforestation, high fossil fuel usage which causes soil acidification, calcium deficiencies and much more. All these are the reasons why trees may stop being as…
2019-08-13 13:49:02+00:00 Read the full story…
Weighted Interest Score: 1.4056, Raw Interest Score: 0.9712,
Positive Sentiment: 0.1674, Negative Sentiment 0.2679

Tandem Bank leverages Open Banking to offer competitive mortgages

Mobile bank Tandem is developing the UK’s first crowd-designed mortgage for those hoping to get on the property ladder, allowing priced-out consumers to share their personal mortgage must-haves with the digital challenger.

Tandem customers will be given the opportunity to sign up to be part of a new group of co-creators and the bank will feed their input into the design phase of the mortgage, serving the consumer directly.

The crowd-designed mo…
2019-08-13 13:00:00 Read the full story…
Weighted Interest Score: 1.3592, Raw Interest Score: 0.8252,
Positive Sentiment: 0.0971, Negative Sentiment 0.1942


It must have happened to you. It certainly happens to me every once in a while. I need to find something urgently and even have no clue where to start searching. Typically a spare part of one or another device. A few days ago it was the coffee maker . I remembered buying a couple of seals a long time ago and storing them in secure place where they surely wouldn’t get lost… I obviously completely forgot about the spares and where I stored them. An…
2019-08-13 10:59:34 Read the full story…
Weighted Interest Score: 1.2843, Raw Interest Score: 0.7589,
Positive Sentiment: 0.0778, Negative Sentiment 0.2919

Director, Growth Marketing


Why We’re Rad (about us):

Rad Power Bikes is a leading consumer direct ebike manufacturer specializing in high quality yet affordable electric bikes for weekend warriors, hardcore commuters, and family cyclists.

Madly growing and located in Ballard, we are seeking a full-time Director, Growth Marketing focused on paid acquisition, activation, and retention to lead our functions of acquisition, activation, and retention. If you enjoy w…
2019-08-07 00:24:36-07:00 Read the full story…
Weighted Interest Score: 1.2605, Raw Interest Score: 0.7843,
Positive Sentiment: 0.4482, Negative Sentiment 0.0280

Why China May Speed Past U.S. In the Robocar Race

As the battle heats up between the world’s two largest economies, the U.S. is at risk of losing its leadership position to China in developing commercially viable robocars, also known as self-driving vehicles. China is moving to rapidly expand the use of super-fast 5G technology that allows self-driving vehicles to communicate with one another, positioning it to leap ahead of rivals.

China will be “saving hundreds, if not thousands, of lives muc…
2019-08-07 17:54:10.830000+00:00 Read the full story…
Weighted Interest Score: 1.2332, Raw Interest Score: 0.9115,
Positive Sentiment: 0.1072, Negative Sentiment 0.2145

Test and Measurement: The role of devices in user experience

Which mobile device a user has plays a crucial role in their experience of a mobile network — and Samsung devices give users the best experience in 35% of countries tested, according to new analysis from OpenSignal.

OpenSignal relies on device-based measurements for its data, and the company’s new report is based on more than 117 billion measurements from 23.3 million devices around the world. Data was collected between April 1 and June 30 of th…
2019-08-09 00:00:00 Read the full story…
Weighted Interest Score: 1.0618, Raw Interest Score: 0.9497,
Positive Sentiment: 0.2659, Negative Sentiment 0.0760

With iPhone Battery Software Lock, Apple Tries To Stop Third-Party Repairs

tery software lock to ensure that customers do not go for third-party repairs.

A report that surfaced Wednesday revealed that Apple activated a feature that disables unauthorized access to battery health data. The feature, called the dormant software lock, ensures that only Apple or an authorized service provider will have access to new iPhone models’ battery replacement and repair.

The iPhone dormant software lock works by giving the users a “service” response whenever they will try to replace their iPhone batteries by themselves. The “service” message is then followed by and “Important Battery” and…
2019-08-09 01:13:01-04:00 Read the full story…
Weighted Interest Score: 1.0212, Raw Interest Score: 0.8578,
Positive Sentiment: 0.0817, Negative Sentiment 0.2042

This news clip post is produced algorithmically based upon CloudQuant’s list of sites and focus items we find interesting. We used natural language processing (NLP) to determine an interest score, and to calculate the sentiment of the linked article using the Loughran and McDonald Sentiment Word Lists.

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