雜志介紹

Teksty Drugie雜志介紹

《Teksty Drugie》是一本以None為主(zhu)(zhu)的未開放獲取(qu)國際(ji)優(you)秀期刊(kan)，中文(wen)名稱第(di)二課文(wen)，本刊(kan)主(zhu)(zhu)要出(chu)版、報道(dao)文(wen)學-LITERATURE, SLAVIC領(ling)域的研究動態(tai)以及在該(gai)領(ling)域取(qu)得(de)的各方面的經驗和(he)科(ke)研成(cheng)果，介紹該(gai)領(ling)域有關本專(zhuan)業的最(zui)新進展(zhan)(zhan)(zhan)(zhan)，探討行(xing)業發展(zhan)(zhan)(zhan)(zhan)的思路和(he)方法(fa)，以促進學術信息交流，提(ti)高行(xing)業發展(zhan)(zhan)(zhan)(zhan)。該(gai)刊(kan)已被國際(ji)權威數據庫SCIE收錄，為該(gai)領(ling)域相(xiang)關學科(ke)的發展(zhan)(zhan)(zhan)(zhan)起到(dao)了(le)良好的推動作用，也得(de)到(dao)了(le)本專(zhuan)業人員(yuan)的廣(guang)泛認可。該(gai)刊(kan)最(zui)新影響因子為0.1，最(zui)新CiteScore 指數為0.1。

英文介紹

Teksty Drugie雜志英文介紹

The Second Text Journal is an academic journal dedicated to the field of text data mining. Text data mining is an information processing technology that combines machine learning, natural language processing, and inference techniques. It completes tasks such as information extraction, relationship discovery, hotspot prediction, text classification, and automatic summarization by understanding, analyzing, and mining text content. This journal may provide a platform for researchers and professionals to exchange and share the latest research findings, covering multiple aspects such as data preprocessing, text representation, text classification, text clustering, and topic modeling.