Core Technologies
Core Technologies
Enrich high-quality data value with AI, unlocking future potential for enterprises.
Enrich high-quality data value with AI, unlocking future potential for enterprises.
eLAND Information stands as an iconic enterprise in the field of AI data intelligence, offering top-tier solutions through a SaaS (Software as a Service) subscription model. We possess 3 critical technologies which can handle massive unstructured data, conduct large-scale, efficient indexing and searching, and perform effective AI analysis. These technologies empower enterprises through cloud-based data services, and also assist our partners in conceiving and constructing value-added data services.
| Search Engine
Large-scale efficient indexing and searching
．Overview
eLAND utilizes an advanced and proprietary, distributed architecture to handle massive-scale data. In a single search core, even with data volumes reaching tens of millions or more, we guarantee search results in less than one second. This ensures ideal load balancing and sustains efficient information retrieval services.
- Proprietary search core crafted with industrial-grade C++ technology
- Exclusive P2P decentralized deployment architecture
- Excellent processing efficiency far exceeds other open-source products
- Capable of handling massive-scale data processing
．Technical Features
Enhancing Operational Efficiency
Assisting enterprises in quickly locating information, saving time and resources, thereby enhancing efficiency.
Improving Accuracy
Employing algorithmic technologies to assist enterprises to acquire accurate and essential information.
Improving Decision-Making
Assisting enterprises in making superior decisions with timely and sufficient information.
| Search Engine
Large-scale efficient
indexing and searching
．Overview
eLAND utilizes an advanced and proprietary, distributed architecture to handle massive-scale data. In a single search core, even with data volumes reaching tens of millions or more, we guarantee search results in less than one second. This ensures ideal load balancing and sustains efficient information retrieval services.
- In-house core crafted with industrial-grade C++ technology
- Exclusive P2P decentralized deployment architecture
- Excellent processing efficiency far exceeds other open-source products
- Capable of handling massive-scale data processing
．Technical Features
Enhancing Operational Efficiency
Assisting enterprises in quickly locating information, saving time and resources, thereby enhancing efficiency.
Improving Accuracy
Employing algorithmic technologies to assist enterprises to acquire accurate and essential information.
Improving Decision-Making
Assisting enterprises in making superior decisions with timely and sufficient information.
| NLP
AI Semantic Analysis
．Overview
DeepNLP Semantic Analysis module is one of eLAND’s independently developed foundational products, with years of research and development invested. It is one of the earliest and the most mature commercial applications of Natural Language Processing (NLP) technology in the market.
- Constructed based on deep learning
- Advanced technologies in semantic analysis, information extraction, and automatic summarization
- Combining accuracy and processing efficiency, and is capable of handling massive data continuously while learning from the data
．Technical Features
Content Feature Extraction
Through deep learning, NLP automatically analyzes unstructured textual data and extracts feature words related to the main concept from contents.
Sentiment Analysis
Utilizing an AI sentiment model, calculate overall positive, negative, and neutral sentiment scores to achieve a comprehensive understanding of the emotions conveyed in the text.
Automatically Extracting Key Messages
Simplifying the content, identifying key words to extract essential sentences or paragraphs, and automatically generating a summary of the text.
Feature Attribute Analysis
Categorizing the extracted feature words based on attributes, such as addresses, names, organizations, etc.
Word Segmentation and Part-of-Speech Analysis
Utilizing deep learning technologies to analyze text, performing “word segmentation” and “part-of-speech” tagging, facilitating the subsequent use of qualitative text for quantitative statistics.
| NLP
AI Semantic Analysis
．Overview
DeepNLP Semantic Analysis module is one of eLAND’s independently developed foundational products, with years of research and development invested. It is one of the earliest and the most mature commercial applications of Natural Language Processing (NLP) technology in the market.
- Constructed based on deep learning
- Advanced technologies in semantic analysis, information extraction, and automatic summarization
- Combining accuracy and processing efficiency, and is capable of handling massive data continuously while learning from the data
．Technical Features
Content Feature Extraction
Through deep learning, NLP automatically analyzes unstructured textual data and extracts feature words related to the main concept from contents.
Sentiment Analysis
Utilizing an AI sentiment model, calculate overall positive, negative, and neutral sentiment scores to achieve a comprehensive understanding of the emotions conveyed in the text.
Automatically Extracting Key Messages
Simplifying the content, identifying key words to extract essential sentences or paragraphs, and automatically generating a summary of the text.
Feature Attribute Analysis
Categorizing the extracted feature words based on attributes, such as addresses, names, organizations, etc.
Word Segmentation and Part-of-Speech Analysis
Utilizing deep learning technologies to analyze text, performing “word segmentation” and “part-of-speech” tagging, facilitating the subsequent use of qualitative text for quantitative statistics.
| ETL
Data Extraction and Parsing
．Overview
- Distributed parallel automatic extraction architecture
- Exclusive anti-blocking technology
- AI intelligent parsing, which is adaptable to various data types
- Capable of handling large and rapidly changing data
| ETL
Data Extraction and Parsing
．Overview
- Distributed parallel automatic extraction architecture
- Exclusive anti-blocking technology
- AI intelligent parsing, which is adaptable to various data types
- Capable of handling large and rapidly changing data
