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Sentiment Analysis

Sentiment analysis service based on Mengzi pre-training model analyzes and judges the emotional tendency of texts in the financial and financial fields, effectively enabling information analysis and processing in the financial and financial fields.

Functional Experience

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Product Overview

Sentiment Analysis

Providing the classification of emotional tendencies and the degree of corresponding classifications to help developers quickly extract and analyze positive and negative opinions in financial and financial information.

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Technical Advantages

Four Technical Advantages

High Precision

Based on the Mengzi pre-trained model, it can handle multi-language and multi-modal data, and has advanced semantic understanding capabilities to help users accurately mine and analyze textual information.

Massive Data Support

High-quality large-scale data sets have been built through various channels and methods to ensure that the model effect is leading in the financial and financial field, and can cover various forms of data sources and business scenarios.

Customer Verification

The model capability has been applied to leading cooperative enterprises in several financial industry segments, and has been verified by enterprise-level services.

Normalized Multilevel Label

Historical data statistically affective distribution, which has better comparability after normalization.

Application Scenarios

Multiple application scenarios, "right medicine" to solve the problem

Policy Analysis

By analyzing the sentiment of industry policy information and market feedback, we can quickly grasp the market's response to policies and assist in making business decisions.

Public Opinion

Through emotional monitoring and analysis with corporate brand, hot information, market and user feedback information, effectively help enterprises to avoid business risks.

Industry Analysis

Real-time monitoring and analysis of information of upstream and downstream enterprises, effectively help enterprises grasp the positive and negative trends of the industrial market, and effectively improve the response speed of enterprises to changes in the industrial chain.

Experience Sentiment Analysis

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Business Cooperation Email

bd@langboat.com

ewm

Address

11F, Block A, Dinghao DH3 Building, No.3 Haidian Street, Haidian District, Beijing, China


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

Business Cooperation:

bd@langboat.com

Address:

11F, Block A, Dinghao DH3 Building, No.3 Haidian Street, Haidian District, Beijing, China

Official Accounts:

ewm

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