In my “Reinventing online reviews” article I designed a unique method for categorizing and viewing online reviews. Since then, I have built a working prototype application for this design. I also added integration capabilities with Twitter to visualize sentiment for a given topic.

Hexagon Geometry

One of the challenging parts of this project was translating the vision I had of a hexagon structure into a tangible web application.

To achieve the hexagon design I needed to figure out how to arrange hexagons such that the collection of them layout made a hexagon. A blog post from Amit Patel of Red Blog Games on the hexagonal design provided the grounding information on drawing and arranging hexagons. The image below was the foundation for how I laid the hexagons out.

I utilzied an object orientated approach for development. I instantiated a grid object. This grid object was assigned an array of hexagon objects, each with its own center coordinat

Once I had the grid of hexagons, I assigned each an entity and a sentiment score. I used a distance formula to allocate words to a hexagon location. This ensured words with a higher sentiment, either positive or negative were further from the center. This calculation is trivial once each hexagon has its x,y coordinates for its location. I then colored the hexagons based on a normalized color spectrum to indicate the level of sentiment.

When all the required information is gathered and structured, I painted the hexagons onto the canvas. One interesting point is that each hexagon is drawn from two separate hexagons. Using two hexagons gives the bar hexagon seen in the images.

The following is a snippet of how the hexagons are drawn onto the canvas.

function drawPloygon(hexagon) {
    ctx.lineWidth = hexagon.lineWidth;
    ctx.moveTo(hexagon.points[0].x, hexagon.points[0].y);
	for(var i = 1; i < hexagon.points.length; i++)
		var point = hexagon.points[i];
		ctx.lineTo(point.x, point.y);
    ctx.fillStyle = hexagon.colour;
    ctx.lineWidth = hexagon.lineWidth;

The follwoing is screenshot of the application of the finished design.


Access to data is key for any modern web application. For this reason, I allowed the latest trending hashtags to be analyzed and visualized through the application. I inputted a large number of tweets from Twitter into Watson API’s and visualized the results. I deployed this onto IBM Cloud using Cloud Foundry and its python runtime environment.

Application Demo