Knowledge Enhancement Using Question Generation for Images and Chart Data Input

In the current era, pictorial representation of data in the form of patterns, charts, graphs and trends are gaining a lot of attention in the fields of finance and science. Deep and correct study of the trends going on is necessary to better one's financial and general knowledge and helps reading and comparing the patterns over a period of time. Correct understanding of the pictorial representation of data in the form of line charts, bar charts or any textual representation is a major task. Hence, the proposed method aims at reading these charts and images, converting them into text and generating questions and then using sentiment analysis to determine positive or negative trends. This is followed by generating commonly asked questions based on the extracted text and providing more context and information on this text using web crawling, which helps provide greater dimensionality and understanding of the problem at hand.