Predictive Analytics is an advanced branch of data analytics that deals with making future predictions that matter to the industry\cite{6}. It has wide applications in the areas of health care, fraud detection, market analysis, cross-sell. Predicting emerging technologies thus can be of great advantage to the corporate and research community.

This thesis, has contributions mainly towards predicting emerging technologies using the US patents and creating an evaluation corpus appropriate for judging the quality of NLP and IR in technology domain. Applying the concept embedding to finding document similarity, this project strives to predict where emerging technologies will appear in the white space of a technology landscape and what those emerging technologies will look like.

I have applied numerical, and semantic techniques in proving the hypotheses hereby presented, and published the data obtained as a result of the data mining project performed to create the evaluation corpus using Patent Trial and Appeal Board's decision files.