I needed to implement a set of simple like/dislike actions to a Rails project and was inspired by the simple like and dislike buttons on ProductHunt. I struggled to find a well written guide on how to implement acts_as_votable asynchronously with Rails 6, so have put the following quick guide together which I hope gives a fairly complete example.
See below for a gif demonstration. For some reason the cursor isn’t visible - but hopefully self explanatory.
Over the last few years there has been a gradual unbundling of retail banks which is quickly gaining pace. Retail banks had become a bit too big an unwieldy, customers were increasingly unhappy with the poor service, bank profits were at record highs and increased government regulation provided high barriers to entry.
In the UK a number of current account providers have appeared and competing heavily to be the primary ‘checking’ account for individuals. These include the likes of Monzo, Revolut and Starling Bank. The general approach to these platforms is:
For several projects I’ve needed to extract specific words from a block of plaintext or extract certain words or types of phrases from different places on a web page. Web scraping works very well if the element is in the same place and same format on every webpage however scraping quickly falls apart when you’re trying to do anything more complex.
Below are a few techniques I have picked up from trying to overcome quality issues, without training an entire ML model or relying on high-degree of human input.
The top-perfoming asset classes over the last decade have been alternative investments. These are assets such as fine wine and spirits, art and even classic cars. These investments have even outperformed the average hedge fund.
After spending a some time using sentiment analysis in a professional advisory capacity, I wanted to explore a few personal ideas.
Sentiment analysis is often overlooked as a tool to understand large amounts of unstructured data quickly and determine signals and trends over a time period.
One such idea, was understanding if social data sentiment could be used as a leading indicactor of stock price of small cap companies. My background thinking was that small/micro caps do not have sufficient analyst coverage and minimal trading volumes therefore volume would be driven primarily by retail investors (i.e. not large funds and...