eLAND Information Co., Ltd. stands as an iconic company in the field of data intelligence, offering top-tier solutions through a SaaS subscription model. We possess 3 critical technologies which can handle massive unstructured data, conducting index searches, and performing AI analysis. These technologies assist our partners in conceiving and constructing data services, thereby empowering enterprises through cloud-based data services.
Data indexing and searching
.Overview
eLAND utilizes a distributed architecture to handle massive-scale data. Even with data volumes reaching tens of millions or more, we guarantee search results within one second. This ensures ideal load balancing and sustains efficient retrieval services.
.Technical Features
Assisting enterprises in quickly locating information, saving time and resources, thereby enhancing efficiency.
Employing algorithmic technologies to assist enterprises to acquire accurate and essential information.
Assisting enterprises in making superior decisions amidst an abundance of information.
Data indexing and searching
.Overview
eLAND utilizes a distributed architecture to handle massive-scale data. Even with data volumes reaching tens of millions or more, we guarantee search results within one second. This guarantees ideal load balancing and sustains efficient retrieval services.
.Technical Features
Assisting enterprises in quickly locating information, saving time and resources, thereby enhancing efficiency.
Employing algorithmic technologies to assist enterprises to acquire accurate and essential information.
Assisting enterprises in making superior decisions amidst an abundance of information.
AI semantic analysis
.Overview
The independently developed DeepNLP Semantic Analysis module is one of eLAND’s foundational products. It is the earliest and most mature commercial application of Natural Language Processing (NLP) technology in the local market.
.Technical Features
AI semantic analysis
.Overview
The independently developed DeepNLP Semantic Analysis module is one of eLAND’s foundational products. It is the earliest and most mature commercial application of Natural Language Processing (NLP) technology in the local market.
.Technical Features
Through deep learning, NLP automatically analyzes unstructured textual data and extracts feature words related to the main theme of the articles.
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.
Simplifying the content, identifying key words to extract essential sentences or paragraphs, and automatically generating a summary of the text.
Categorizing the extracted feature words based on attributes, such as addresses, names, organizations, etc.
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.
Through deep learning, NLP automatically analyzes unstructured textual data and extracts feature words related to the main theme of the articles.
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.
Simplifying the content, identifying key words to extract essential sentences or paragraphs, and automatically generating a summary of the text.
Categorizing the extracted feature words based on attributes, such as addresses, names, organizations, etc.
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.
Data Extraction and Parsing
.Overview
Data Extraction and Parsing
.Overview
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