Our stock sentiment analysis system has been working like a charm now for a little over 3 days. There was some confusion on the Yahoo News API which caused a temporary outage. But the data has moved around enough such that we can now start showing some data science on the collected data and see if we cannot make some educated choices in what we expect the stock price to do in the upcoming weeks.
Just a quick note that with the latest caching and multithreading improvements we have added a whole slew of tickers – not blue chips but less tumultuous ETFs and penny stocks – to the tracking spreadsheet.
Developing microservices for pleasure and profit works when it doesn’t cost anything to do so. After our last month of developing a tone analysis system using IBM Watson on BlueMix, I tallied up quite a few queries and as a result got a bill from BlueMix for a whole 9 cents.
It’s no secret that I was not looking forward to figuring out the technical innards of sentiment analysis in order to make my simple system to tell me if I need to build a bunker and stock up on basic survival supplies like water, food, and batteries. Continue reading Part 3: IBM Completely Redeems Itself – Building a Tone analysis Service using IBM Bluemix and Watson
In the first part of our series we wrote a simple web content extractor function that would fetch a web page, remove all the markup and return a simple text string representing the text on the page. While not a perfect solution (it chokes on AJAX features commonly found on many modern sites), it will serve our purpose for this series thus far. Continue reading Part 2: Discovering Sentiment Analysis