Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Towards a Linguistic Model of Stress, Well-being and Dark Traits in Russian Facebook Texts. / Panicheva, Polina; Ivanov, Victor; Moskvichev, Arseny; Bogolyubova, Olga; Ledovaya, Yanina.
Artificial Intelligence and Natural Language & Information Extraction, Social Media and Web Search (AINL-ISMW FRUCT) Conference. FRUCT Oy, 2015. p. 186-188.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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TY - GEN
T1 - Towards a Linguistic Model of Stress, Well-being and Dark Traits in Russian Facebook Texts
AU - Panicheva, Polina
AU - Ivanov, Victor
AU - Moskvichev, Arseny
AU - Bogolyubova, Olga
AU - Ledovaya, Yanina
PY - 2015
Y1 - 2015
N2 - The presented project is intended to make use of growing amounts of textual data in social networks in the Russian language, in order to find linguistic correlates of stress, subjective well-being, moral disengagement and dark personality traits. The background for the investigation includes, on the one hand, psychological research on these phenomena and their measurement instruments, and on the other hand, recent advances in automatic text-based author profiling. The measures for these psychological phenomena are provided by recognized psychological surveys adapted to Russian. Morphological and semantic analysis, as well as statistical techniques of feature selection and automatic classification are used to investigate the relationship between the psychological states and their linguistic manifestation in social network texts. The results of the current experiments will be evaluated and compared to respective advances in English author profiling, deepening our understanding of the interconnection between the
AB - The presented project is intended to make use of growing amounts of textual data in social networks in the Russian language, in order to find linguistic correlates of stress, subjective well-being, moral disengagement and dark personality traits. The background for the investigation includes, on the one hand, psychological research on these phenomena and their measurement instruments, and on the other hand, recent advances in automatic text-based author profiling. The measures for these psychological phenomena are provided by recognized psychological surveys adapted to Russian. Morphological and semantic analysis, as well as statistical techniques of feature selection and automatic classification are used to investigate the relationship between the psychological states and their linguistic manifestation in social network texts. The results of the current experiments will be evaluated and compared to respective advances in English author profiling, deepening our understanding of the interconnection between the
M3 - Conference contribution
SN - 978-5-7577-0493-7
SP - 186
EP - 188
BT - Artificial Intelligence and Natural Language & Information Extraction, Social Media and Web Search (AINL-ISMW FRUCT) Conference
PB - FRUCT Oy
ER -
ID: 4748397