Baidu Natural Language Processing
- Basic Technology
- Application Technology
- Application Scenarios
- Special Advantages
- Relevant Recommendations
Basic Technology for Language Processing
Lexical Analysis
Based on the word segmentation, part-of-speech tagging, and named entity recognition technology, Lexical Analysis allows you to locate basic language elements, get rid of ambiguity, and support accurate understanding.
Word Vector Representation
Word Vector Representation can calculate texts through vectorization of words. Thus, it can help you quickly complete semantic mining, similarity calculation, and other applications.
Semantic Similarity
Based on deep neural network and massive high-quality data on the internet, Semantic Similarity is possible to calculate the similarity of two words through vectorization of words, meeting the business scenario requirements for high precision.
Dependency Syntax Analysis
Dependency Syntax Analysis can automatically analyze the dependency syntax's structural information in text, achieving accurate understanding of the natural language.
DNN Language Model
DNN language model can judge whether a sentence meets the customs of language expression. Thus, it can help you quickly achieve applications like text analysis, error correction, and smart conversation.
Short-text Similarity
Short-text Similarity provides you with high-precision similarity analysis service for short text. Thus, it can help you achieve applications like recommender system, search engine, and sorting.
Application Technology for Language Processing
Text Error-correcting
Text Error-correcting can identify the text segment containing errors, show errors prompt, and give recommended correct text content.
Sentiment Analysis
Sentiment Analysis performs sentiment judgment for the text containing subjective information. It can also support on-line model training for optimization, Thus it assists you in such applications as word-of-mouth analysis and public opinion analysis.
Comment Extraction
Comment Extraction can extract and analyze comments automatically. Therefore, it helps you accomplish public opinion analysis and user understanding. It also supports product optimization and marketing decision-making.
Conversation Emotion Recognition
It can detect emotional characteristics contained in the user’s daily conversation text. Therefore, it helps enterprises to fully understand the product experience and service quality.
Article Tag
Article Tag can analyze the core keywords of the articles. Therefore, it offers technical support for personalized recommendation, similar article aggregation, and article content analysis.
Article Classification
Article Classification can classify articles in light of their contents. It supports 26 types of contents in fields like entertainment, sports, and technology. It also offers essential supports for such applications as article aggregation and text content analysis.
News Digest
The deep semantic analysis model can extract key information in news and generate news digests with a specified length. It can be used for such scenarios as hot news aggregation, news recommendation, voice broadcast, and APP message push.
Address Recognition
Address Recognition precisely extract names, phone numbers, and address information in the express waybill text. Furthermore, through natural language processing, automatic supplement and correction of address information can also be realized.
Application Scenarios
- Intelligent Recruitment
- Intelligent Contract Processing
- Media Strategy Adoption, Edition, and Review
Intelligent Recruitment
The enterprise recruitment solution includes several application abilities, such as CV resolution, candidate-post match, and talent evaluation. It helps enterprises save the recruitment cost, shorten the recruitment period, and free the HR personnel from the huge daily CVs selection and trivial communication.
Intelligent Contract Processing
Based on such technologies as OCR, Natural Language Processing, and Knowledge Graph, it can offer various application services, including transaction, contract review, and contract archiving and management. It empowers enterprises to conduct contract management and offer legal information services in the whole process, improving the contract review efficiency and accuracy.
Media Strategy Adoption, Edition, and Review
By relying on such technologies as Natural Language Processing and Knowledge Graph, it can introduce appropriate scenario solutions for the business processes, such as Media Strategy Making, Adoption, Edition, Distribution, Commenting, and Review. Thus, it drives the deep integration between the traditional media and new media in news production, content dissemination, and technical innovation fields.
Special Advantages
Abundant Capabilities
Dozens of natural language core algorithms and solutions fully cover various requirements for language processing.
Strong Semantic Generalization
For the standard interface encapsulation, a variety of tools become available rapidly by calling them via cloud computing, reducing the development labor cost significantly.
Service Reliability
The SLA remains stable above 99.99%. It supports hundreds of billions of calling requirements and has complete statistical and monitoring measures.
Relevant Recommendations
Knowledge Comprehension
Based on the abundant data systems for the knowledge graph, it can provide you with a description of the ability of deep comprehension and resolution for entities and concepts in the text semantics.
EasyDL Zero-threshold AI Development Platform
It features one-stop support for intelligent marking, model training, service deployment, and other full-process features. It has abundant built-in pre-training models, which has been widely applied in many fields.
Optical Character Recognition
It offers multi-scenario, multi-language, and high-precision optical character detection and recognition services. Also, it has several ICDAR indexes ranked at the first position worldwide.