saiwaiyanyu/knowledge-graph-nlp-in-action
从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。
This project helps you automatically extract key information from text. You input a piece of text, and it identifies specific entities like names, organizations, and times, or determines relationships between entities. It can also interpret dream descriptions based on traditional Chinese dream analysis. This is designed for data analysts, researchers, or content managers who need to structure unstructured text data or gain insights from large volumes of text.
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Use this if you need to automatically identify and categorize important details within written content, understand the relationships between different pieces of information, or process natural language for specific insights like dream interpretation.
Not ideal if you are looking for a general-purpose conversational AI or a tool to generate new text content rather than extract information from existing text.
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94
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Language
Python
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Last pushed
Dec 14, 2019
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