Heuristic domain targeted table detection and extraction technique

An information handling system comprising:

• one or more processors;
• a memory coupled to at least one of the processors;
• a set of instructions stored in the memory and executed by at least one of the processors to process tables embedded within documents, wherein the set of instructions are executable to perform actions of:
• receiving, by the system, an input document comprising embedded table data;
• converting, by the system, the input document to a text document comprising table data;
• detecting, by the system, table headers by using semantic groupings of table header terms in a semantic grouping table to identify a minimum threshold number of at least two table header terms in a scanned line of the text document;
• extracting, by the system, a table data zone by applying white space correlation function to a region of the text document that is beneath each table header;
• grouping, by the system, tokenized text lines from the table data zone to create one or more data zone columns;
• aligning, by the system, each of the one or more data zone columns with a corresponding header column in the table headers to form a candidate table;
• performing, by the system, data cleansing to remove unwanted trailing lines from the candidate table;
• and
• evaluating, by the system, one or more columns of the candidate table using natural language processing to extract data values and highlight abnormal values.

A computer program product stored in a computer readable storage medium, comprising computer instructions that, when executed by an information handling system, causes the system to process tables embedded within documents by:

• receiving, by the system, an input document comprising embedded table data;
• converting, by the system, the input document to a text document comprising table data;
• detecting, by the system, table headers by using semantic groupings of table header terms in a semantic grouping table to identify a minimum threshold number of at least two table header terms in a scanned line of the text document;
• extracting, by the system, a table data zone by applying white space correlation function to a region of the text document that is beneath each table header;
• grouping, by the system, tokenized text lines from the table data zone to create one or more data zone columns;
• aligning, by the system, each of the one or more data zone columns with a corresponding header column in the table headers to form a candidate table;
• performing, by the system, data cleansing to remove unwanted trailing lines from the candidate table;
• and
• evaluating, by the system, one or more columns of the candidate table using natural language processing to extract data values and highlight abnormal values.