Abstract: A text data structuring apparatus includes a processor, wherein the processor is configured to: extract text included in an image and position information of the text on the basis of Optical Character Recognition (OCR), extract line information included in the image by using the text, the position information, and the image, classify the text into text units by using natural language processing model, add a tag that combines a first tag and a second tag to each of the keywords included in each of the text units, connect keywords with related tags among the tagged keywords, label each of the connected keywords with key or value, acquire a mapping candidate group based on the line information on the basis of the line information, and decide which texts to be mapped to each other based on similarity scores between texts included in the mapping candidate group.

Abstract: A text data structuring apparatus according to the present invention includes: a data extraction unit which extracts text included in an image and position information of the text on the basis of OCR; a data processing unit which extracts line information included in the image by using the text, the position information, and the image; a labeling unit which labels the text as keys or values; and a relationship identification unit which acquires a mapping candidate group including first text, second text, and third text labeled on the basis of the line information, calculates a first similarity score representing meaning similarity between the first text and the third text and a second similarity score representing meaning similarity between the second text and the third text, and decides text to be mapped with the third text among of the first text and the second text.

Abstract: Provided are method and apparatus for data structuring of text. The apparatus for data structuring of text includes a processor; and a memory storing instructions executable by the processor, wherein the processor is configured to execute the instructions to: extract text and location information of the text from an image, set text units for the extracted text, assigning a first tag and a second tag to at least one of the text units, connect text units with related tags among the text units allocated the first tag and the second tag, label the connected text units as first text, second text, and third text respectively corresponding to an item name, an item value, and others based on a natural language processing model, and structure the extracted text by mapping the second text to the first text.

Abstract: Provided are method and apparatus for data structuring of text. The apparatus for data structuring of text includes a processor; and a memory storing instructions executable by the processor, wherein the processor is configured to execute the instructions to: extract text and location information of the text from an image, set text units for the extracted text, assigning a first tag and a second tag to at least one of the text units, connect text units with related tags among the text units allocated the first tag and the second tag, label the connected text units as first text, second text, and third text respectively corresponding to an item name, an item value, and others based on a natural language processing model, and structure the extracted text by mapping the second text to the first text.

Abstract: Provided are method and apparatus for data structuring of text. The apparatus for data structuring of text includes a data extraction unit configured to extract text and location information of the text from an image based on an optical character recognition (OCR) technique, a data processing unit configured to generate a text unit based on the text and the location information, a form classification unit configured to classify a form of the image based on the text, a labeling unit configured to label the text unit as first text, second text, and third text respectively corresponding to an item name, an item value, or others based on the classified form, a relationship identification unit configured to map and structure the second text corresponding to the first text, and a misrecognition correction unit configured to determine misrecognition of the first text and correct the first text determined to be misrecognized.

Abstract: A text data structuring apparatus according to the present invention includes: a data extraction unit which extracts text included in an image and position information of the text on the basis of OCR; a data processing unit which extracts line information included in the image by using the text, the position information, and the image; a labeling unit which labels the text as keys or values; and a relationship identification unit which acquires a mapping candidate group including first text, second text, and third text labeled on the basis of the line information, calculates a first similarity score representing meaning similarity between the first text and the third text and a second similarity score representing meaning similarity between the second text and the third text, and decides text to be mapped with the third text among of the first text and the second text.

Abstract: Provided are method and apparatus for data structuring of text. The apparatus for data structuring of text includes a data extraction unit configured to extract text and location information of the text from an image based on an optical character recognition (OCR) technique, a data processing unit configured to generate a text unit based on the text and the location information, a form classification unit configured to classify a form of the image based on the text, a labeling unit configured to label the text unit as first text, second text, and third text respectively corresponding to an item name, an item value, or others based on the classified form, a relationship identification unit configured to map and structure the second text corresponding to the first text, and a misrecognition correction unit configured to determine misrecognition of the first text and correct the first text determined to be misrecognized.