Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Extended list of stop words : Does it work for keyphrase extraction from short texts? / Popova, Svetlana; Skitalinskaya, Gabriella.
Proceedings of the 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2017. Том 1 Institute of Electrical and Electronics Engineers Inc., 2017. стр. 401-404 8098815.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Extended list of stop words
T2 - 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2017
AU - Popova, Svetlana
AU - Skitalinskaya, Gabriella
PY - 2017/11/6
Y1 - 2017/11/6
N2 - In this paper we study the problem of key phrase extraction from short texts written in Russian. As texts we consider messages posted on Internet car forums related to the purchase or repair of cars. The main assumption made is: the construction of lists of stop words for key phrase extraction can be effective if performed on the basis of a small, expert-marked collection. The results show that even a small number of texts marked by an expert can be enough to build an extended list of stop words. Extracted stop words allow to improve the quality of the key phrase extraction algorithm. Prior, we used a similar approach for key phrase extraction from scientific abstracts in the English language. In this paper we work with Russian texts. The obtained results show that the proposed approach works not only for texts that are appropriate in terms of structure and literacy, such as abstracts, but also for short texts, such as forum messages, in which many words may be misspelled and the text itself is poorly structured. Moreover, the results show that proposed approach works well not only with English texts, but also with texts in the Russian language.
AB - In this paper we study the problem of key phrase extraction from short texts written in Russian. As texts we consider messages posted on Internet car forums related to the purchase or repair of cars. The main assumption made is: the construction of lists of stop words for key phrase extraction can be effective if performed on the basis of a small, expert-marked collection. The results show that even a small number of texts marked by an expert can be enough to build an extended list of stop words. Extracted stop words allow to improve the quality of the key phrase extraction algorithm. Prior, we used a similar approach for key phrase extraction from scientific abstracts in the English language. In this paper we work with Russian texts. The obtained results show that the proposed approach works not only for texts that are appropriate in terms of structure and literacy, such as abstracts, but also for short texts, such as forum messages, in which many words may be misspelled and the text itself is poorly structured. Moreover, the results show that proposed approach works well not only with English texts, but also with texts in the Russian language.
KW - information retrieval
KW - keyphrase extraction
KW - short texts
KW - stop words
UR - http://www.scopus.com/inward/record.url?scp=85040797829&partnerID=8YFLogxK
U2 - 10.1109/STC-CSIT.2017.8098815
DO - 10.1109/STC-CSIT.2017.8098815
M3 - Conference contribution
AN - SCOPUS:85040797829
VL - 1
SP - 401
EP - 404
BT - Proceedings of the 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 September 2017 through 8 September 2017
ER -
ID: 36370094