Standard

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. ed. / Valttery Niemi ; Tatiana Tyutina. США : Institute of Electrical and Electronics Engineers Inc., 2019. p. 204-210.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Maltseva, A, Shilkina, N, Tiomniy, I, Makhnytkina, O & Lizunova, I 2019, Theory of Semantic Field for Sentiment-Analysis of the Language of Specific Users' Group in Social Media (Case of Freelancer Groups). in V Niemi & T Tyutina (eds), 25th Conference of Open Innovations Association FRUCT, FRUCT 2019. Institute of Electrical and Electronics Engineers Inc., США, pp. 204-210, 25th Conference of Open Innovations Association FRUCT, FRUCT 2019, Helsinki, Finland, 5/11/19.

APA

Maltseva, A., Shilkina, N., Tiomniy, I., Makhnytkina, O., & Lizunova, I. (2019). Theory of Semantic Field for Sentiment-Analysis of the Language of Specific Users' Group in Social Media (Case of Freelancer Groups). In V. Niemi , & T. Tyutina (Eds.), 25th Conference of Open Innovations Association FRUCT, FRUCT 2019 (pp. 204-210). Institute of Electrical and Electronics Engineers Inc..

Vancouver

Maltseva A, Shilkina N, Tiomniy I, Makhnytkina O, Lizunova I. Theory of Semantic Field for Sentiment-Analysis of the Language of Specific Users' Group in Social Media (Case of Freelancer Groups). In Niemi V, Tyutina T, editors, 25th Conference of Open Innovations Association FRUCT, FRUCT 2019. США: Institute of Electrical and Electronics Engineers Inc. 2019. p. 204-210

Author

Maltseva, Anna ; Shilkina, Natalia ; Tiomniy, Igor ; Makhnytkina, Olesia ; Lizunova, Inna . / Theory of Semantic Field for Sentiment-Analysis of the Language of Specific Users' Group in Social Media (Case of Freelancer Groups). 25th Conference of Open Innovations Association FRUCT, FRUCT 2019. editor / Valttery Niemi ; Tatiana Tyutina. США : Institute of Electrical and Electronics Engineers Inc., 2019. pp. 204-210

BibTeX

@inproceedings{ec1c92501c2a437da286854bc37de138,
title = "Theory of Semantic Field for Sentiment-Analysis of the Language of Specific Users' Group in Social Media (Case of Freelancer Groups)",
abstract = "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.",
keywords = "social media, Sentiment analysis, semantic field, natural language processing, social networking (online), social sciences computing, text analysis",
author = "Anna Maltseva and Natalia Shilkina and Igor Tiomniy and Olesia Makhnytkina and Inna Lizunova",
year = "2019",
month = nov,
language = "English",
isbn = "978-1-7281-2786-6",
pages = "204--210",
editor = "{Niemi }, Valttery and Tyutina, {Tatiana }",
booktitle = "25th Conference of Open Innovations Association FRUCT, FRUCT 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "25th Conference of Open Innovations Association FRUCT, FRUCT 2019 ; Conference date: 05-11-2019 Through 08-11-2019",

}

RIS

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