- 語(yǔ)義空間
- semantic: adj. 語(yǔ)義(學(xué))的。
- space: n. 1.空間；太空。 2.空隙，空地；場(chǎng)地；(火車(chē)輪船 ...
- semantic space construction: 語(yǔ)義空間結(jié)構(gòu)
- compositional semantic: 合成語(yǔ)義
- content, semantic: 語(yǔ)意內(nèi)容
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semantic space中文什么意思
- 語(yǔ)義空間
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例句與用法
- Lsi comes from the field of information retrieval . it transforms the original vector space to abstract k - dimension semantic space . so the huge dimensions of the original vector space are reduced greatly , also the training speed and system performance are improved
系統(tǒng)中引入了信息檢索中的常用技術(shù)? ?潛在語(yǔ)義索引，把原始向量空間轉(zhuǎn)換到抽象的k維語(yǔ)義空間，實(shí)現(xiàn)原始向量空間的降維，提高網(wǎng)絡(luò)訓(xùn)練速度和性能。 - It includes 3d semantic space and constraining based problem - solving method . the 3d semantic space is built to represent the relationship between the describing semantic word and product color . then , the product color schemes with related abstract sense words is achieved and saved in database
首先采用定性和定量相結(jié)合的方法，比較各抽象語(yǔ)義詞匯對(duì)人心理感覺(jué)影響的差異，建立了抽象語(yǔ)言和色彩關(guān)聯(lián)的三維風(fēng)格語(yǔ)義空間，為色彩信息的表示及推理奠定了基礎(chǔ)。 - The document space is generally of high dimensionality and clustering in such a high dimensional space is often infeasible due to the curse of dimensionality . so the primary step in document clustering is to project the document into a lower - rank semantic space in which the documents related to the same semantics are close to each other
基于文本空間的文本聚類(lèi)因?yàn)槠渚哂懈呔S的特征而不容易直接實(shí)現(xiàn),所以文本聚類(lèi)的首要步驟就是將文本空間的數(shù)據(jù)投影到較低維的語(yǔ)義空間里,使在文本空間里相鄰的數(shù)據(jù)向量在語(yǔ)義空間里根據(jù)某些提取的特征參數(shù)而相似。