2017 Media Sentiment – Mining the U.S. Housing Market with Tech Tools

Jonathan ScottBig Data, Contruction, Forecast Accuracy, Natural Language Processing

Housing Tides 2017 Media Sentiment - Mining the U.S. Housing Market with Tech ToolsArtboard 1 copy 14

Each month Housing Tides™ leverages IBM Watson® Natural Language Understanding tools to measure the sentiment of over 500 news articles covering the housing and homebuilding sector from over 90 major news sources to “check the pulse” of the industry.  We believe that by quantifying the positivity or negativity of news coverage, housing professionals can gain an understanding of the consensus … Read More

Flourishing Forecasters – Who makes the most accurate forecasts?

Jonathan ScottBig Data, Forecast Accuracy, Natural Language Processing

If you want to get ahead as a real estate investor or housing industry professional, it’s important to follow major news sources to track latest developments in the housing sector and general economic climate.  These media often feature opinions and predictions about the future course of events, ranging from broad and vague (e.g. “It’s possible that housing starts will fall … Read More