Document Analysis
Document analysis system predicts upcoming trends and technology. For Example, we used patent data and displayed the results using graphical representations in an application. Document analysis system makes use of natural language processing (NLP) techniques to analyze and extract relevant information from patent data, such as technology keywords and inventors.
Machine learning algorithms are applied to identify patterns and trends in the data, which is used to make predictions about future technological developments.
Document analysis system used graphs to organize the patent data and the results of the analysis. This allows for efficient querying and visualization of the data in the application, making it easy for users to explore and understand the results.
Document analysis system is built using Python and Angular and provides an interactive interface for users to view the predictions and trends. Document analysis system also features interactive graphs and charts to help users understand the results and trends.
Document analysis system will be useful for businesses, investors, and researchers to stay ahead of the technological curve and make informed decisions about investment, research, and development.
