基于中文文獻數(shù)據(jù)的信息前沿技術(shù)國內(nèi)發(fā)展情況分析

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摘  要：在大數(shù)據(jù)時代背景下，非結(jié)構(gòu)化數(shù)據(jù)尤其是文本數(shù)據(jù)的分析處理技術(shù)成為當下科研熱點。該文介紹本數(shù)據(jù)分析技術(shù)的發(fā)展現(xiàn)狀和前沿技術(shù)，提出研究思路，并使用Word2vec和Single-Pass聚類算法進行數(shù)據(jù)處理。該文還整理和說明近年來該領(lǐng)域的技術(shù)突破，并對未來發(fā)展方向進行展望。

關(guān)鍵詞：自然語言處理；聚類分析；文獻數(shù)據(jù)；分析技術(shù)；數(shù)據(jù)處理

中圖分類號：TP391.1      文獻標志碼：A          文章編號：2095-2945（2025）09-0099-05

Abstract： In the context of the era of big data， the analysis and processing technology of unstructured data， especially text data， has become a hot topic in current scientific research. This paper introduces the development status and cutting-edge technologies of text data analysis technology， puts forward research ideas， and uses Word 2vec and Single-Pass clustering algorithms for data processing. The article also collates and explains the technological breakthroughs in this field in recent years and looks forward to the future development direction.

Keywords： natural language processing; cluster analysis; literature data; analysis technology; data processing

進入信息時代以來，信息技術(shù)創(chuàng)新日新月異。（剩余5097字）