Sentiment Analytic or opinion mining is predicted by many commentators to be entering a growth phase, fueled by advances in machine learning, multilingual analysis, image and video analysis and insights into consumer emotion analytics, big data handling and networks.

Through sentiment analytics companies discover what their public thinks about them. Providers of such analytical tools may combine open source or tailored algorithms with proprietary platforms, dashboards.

A large number of patents and patent applications have recently been filed that are directed towards protecting the IP around sentiment analytics and opinion mining. Novel and advantageous arrangements of open source products,  have every chance of being patent protectable, and companies inthis field are becoming very mindful thattrade secret protection is inadequate for fear of reverse engineering.

In fact, even in the new and narrow field of sentiment analysis, there are (see below) over 250individual patent and patent applications and the filings are increasing massively  as companies attempt to protect their assets and also create freedom to operate  issues for their competitors. Outside investors and strategic partners factor in patent due diligence and patent valuations along with other assets of the company.


The main concentration of patenting efforts are in the US and China, with Europe coming in a poor third.

The main subjects claimed for patent protection within sentiment analysis are shown above.

The entry ticket for getting into this field is relatively low. Strategies  for start ups tend to fall into either cross media analysis  combining Natural Language Processing, images and video, or highly specific features within these segments. The patent filings made by IBM, Google, Amazon, Facebook , NASDAQ , Thomson and others (shown below) should provide tempting incentives forstart ups with patent licensing or monetising aspirations.