编组
ConsoleUser Center
Solution Introduction

Efficient Information Extraction and Analysis of Documents with Varying Structure

It can be used to extract key information, classify, summarize, review and compare PDF, Word and plain text documents, which usually require manual analysis. Langboat Technology has specially optimized the common document analysis tasks in the financial field. Through the Mengzi pre-training model technology, the accuracy and flexibility of the analysis can be effectively improved, and the document information analysis efficiency of financial enterprises can be improved.

Business Scenarios and Pain Points

Pain Points

01

page.solution.IDP.scene.title1

Huge Numbers of Documents in Various Formats

The number of documents that the company needs to analyze and process is huge, and often involves various departments and multiple versions of historical data, and the format is quite different. Manual analysis is time-consuming and labor-intensive.

Pain Points

02

page.solution.IDP.scene.title2

Documentation Information is Redundant and Lacks Structure

The information content in the document is complex, the data is messy, and there is a lack of unified structure and standards. The key information you want to extract is often scattered between the lines, requiring in-depth reading to understand the content.

Pain Points

03

page.solution.IDP.scene.title3

Analysis Needs are Diverse and Changing Rapidly

The company's business is developing rapidly, and document analysis needs not only to process historical data, but also to respond to business changes in a timely manner. Smarter and automated solutions are needed.

Pain Points

04

page.solution.IDP.scene.title4

Manual Error-prone and Rigid Keyword Rules

Omissions are prone to occur when manually analyzing data, and errors are more likely to occur if the number of documents is huge. Some keyword matching can be done by using a relatively elementary rule algorithm, but it is difficult to achieve strong adaptability due to the inability to understand context semantics.

Intelligent Document Processing Solution

Based on Mengzi Financial Pre-training Model Technology

Covering a variety of document analysis scenarios

Langboat Technology uses a large amount of task data in the financial field to optimize the model for the financial field. It can better complete specific tasks in the financial field than pre-trained models in the general field, such as: identification of listed companies and bond-issuing entities, financial professional sentiment analysis, research report opinion extraction, financial document compliance review, etc.

page.solution.IDP.solution.method1.title

Customizable Information Extraction Technology

Supporting customization of new scenarios

It supports common information extraction tasks in the financial industry and can be highly customized according to customer needs.

page.solution.IDP.solution.method2.title

Zero-shot and Few-shot Learning Technology Based on Large Models

Minimizing annotation data requirements

By applying zero-shot learning techniques, benchmark performance can be quickly obtained without data labeling. For scenarios with higher precision requirements, only a small amount of labeled data is needed to obtain better analysis results. With the support of powerful Mengzi financial pre-training model technology, it can achieve strong scene generalization.

page.solution.IDP.solution.method3.title

Business Value

page.solution.IDP.value.title1

Significantly Reduce Manual Processing Time

Through the pre-training model technology, it can provide full-process intelligent automation support for multiple document analysis scenarios. In special scenarios, it can also cooperate with manual operation to effectively improve work efficiency under the premise of perfectly guaranteeing the final result.

page.solution.IDP.value.title2

Reducing Omissions in Manual and Rule Processing

Effectively improve the omissions that are easy to occur in the analysis of a large amount of text content manually. Because it can understand the semantic environment of the context, it can also cover flexible language expression scenarios that cannot be well handled by keyword matching rule algorithms.

page.solution.IDP.value.title3

Reducing System Maintenance Costs

Based on the pre-training model technology and the special optimization of a large number of common task scenarios in the financial field, Langboat Technology's technical solutions have strong task generalization capabilities and can adapt to new content brought about by business changes to a certain extent. When the business content changes greatly, only small-scale maintenance is required to adapt to the new scene.

Solution Experts Can Demonstrate Products Remotely or on Site

Related Products

Langboat Meeting Assistant Platform

The Langboat Meeting Assistant can efficiently realize the functions of speech to text and multi-dimensional intelligent analysis of conference. Applicable to office meetings, teaching speeches, media interviews and other meeting scenarios,Provide deep analysis and value mining of meeting contents.

Financial Applications

Providing various NLP capabilities with strong versatility in the financial industry through APIs.

Products

About Us

Mengzi Community

Great News

Join Us

Business Cooperation Email

Address

Floor 16, Fangzheng International Building, No. 52 Beisihuan West Road, Haidian District, Beijing, China.


© 2023, Langboat Co., Limited. All rights reserved.


Large Model Registration Code:Beijing-MengZiGPT-20231205


Business Cooperation:

bd@langboat.com

Address:

Floor 16, Fangzheng International Building, No. 52 Beisihuan West Road, Haidian District, Beijing, China.

Official Accounts:

ewm

© 2023, Langboat Co., Limited. All rights reserved.

Large Model Registration Code:Beijing-MengZiGPT-20231205

support
business