Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Theory of Semantic Field for Sentiment-Analysis of the Language of Specific Users' Group in Social Media (Case of Freelancer Groups). / Maltseva, Anna ; Shilkina, Natalia ; Tiomniy, Igor ; Makhnytkina, Olesia ; Lizunova, Inna .
25th Conference of Open Innovations Association FRUCT, FRUCT 2019. ред. / Valttery Niemi ; Tatiana Tyutina. США : Institute of Electrical and Electronics Engineers Inc., 2019. стр. 204-210.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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TY - GEN
T1 - Theory of Semantic Field for Sentiment-Analysis of the Language of Specific Users' Group in Social Media (Case of Freelancer Groups)
AU - Maltseva, Anna
AU - Shilkina, Natalia
AU - Tiomniy, Igor
AU - Makhnytkina, Olesia
AU - Lizunova, Inna
PY - 2019/11
Y1 - 2019/11
N2 - In this article the description of an algorithm of a statement sentiment evaluation is done for the users' of social media language. We underline that statements of the natural language can be contradictory, emotionally complicated, ambiguous. It is the additional research task to detect the adequate formal criterion of the natural language statements ranging on t he scale “posit ive - negative”. In the article the original decision of this problem on the base of the theory of the semantic field is described. The technique was tested in the All-Russian Scientific Research Institute of Labor of the Ministry of Labor and Social Protection of the Russian Federation for investigation of population opinion to the new forms of employment. Empirical base is more than 100 000 messages of users of thematical groups in VKontakte. Analysis with the accent on the parameters: subject of tonality, object of tonality, message tonality was done. The technique of research assumes the detection of words-markers that indicate the general message tonality.
AB - In this article the description of an algorithm of a statement sentiment evaluation is done for the users' of social media language. We underline that statements of the natural language can be contradictory, emotionally complicated, ambiguous. It is the additional research task to detect the adequate formal criterion of the natural language statements ranging on t he scale “posit ive - negative”. In the article the original decision of this problem on the base of the theory of the semantic field is described. The technique was tested in the All-Russian Scientific Research Institute of Labor of the Ministry of Labor and Social Protection of the Russian Federation for investigation of population opinion to the new forms of employment. Empirical base is more than 100 000 messages of users of thematical groups in VKontakte. Analysis with the accent on the parameters: subject of tonality, object of tonality, message tonality was done. The technique of research assumes the detection of words-markers that indicate the general message tonality.
KW - social media
KW - Sentiment analysis
KW - semantic field
KW - natural language processing
KW - social networking (online)
KW - social sciences computing
KW - text analysis
UR - https://ieeexplore.ieee.org/document/8981540/keywords#keywords
M3 - Conference contribution
SN - 978-1-7281-2786-6
SP - 204
EP - 210
BT - 25th Conference of Open Innovations Association FRUCT, FRUCT 2019
A2 - Niemi , Valttery
A2 - Tyutina, Tatiana
PB - Institute of Electrical and Electronics Engineers Inc.
CY - США
T2 - 25th Conference of Open Innovations Association FRUCT, FRUCT 2019
Y2 - 5 November 2019 through 8 November 2019
ER -
ID: 52294817