«Methods For Verification Of Sentiment Frames»

Loukachevitch N. V.; Matueva I.;
Lomonosov Moscow State University, Moscow, Russia;

AIST, 2020

Number of results:

Similar publications:

Paper title Paper author Affiliation Conference Year Similarity Tasks
Sentiment Frames For Attitude Extraction In Russian url annotation Rusnachenko N.
Loukachevitch N. V.
Lomonosov Moscow State University, Moscow, Russia
Bauman Moscow State Technical University, Moscow, Russia
Dialogue 2020 0.9908
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Автоматическое реферирование
Automatic Object-Oriented Sentiment Analysis By Means Of Semantic Templates And Sentiment Lexicon Dictionaries url annotation Pleshko V. V.
Kalinina M. V.
Poljakov P. Ju.
RCO, Moscow, Russia
Dialogue 2015 0.9833
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Автоматическое реферирование
Using Basic Syntactic Relations For Sentiment Analysis url annotation Ostapuk N. A.
Mavljutov R. R.
Yandex, Moscow, Russia
Dialogue 2013 0.9820
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика
Testing Rules For A Sentiment Analysis System url annotation Chetverkin I. I.
Loukachevitch N. V.
Kuznetsova E. S.
Lomonosov Moscow State University, Moscow, Russia
Geostream, Moscow, Russia
Dialogue 2013 0.9816
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Автоматическое реферирование
Using Sentiment-Analysis For Text Information Extraction url annotation Pazelskaja A. G.
Solovev A. N.
Antonova A. Ju.
I-Teco, Moscow, Russia
Dialogue 2012 0.9809
Show tasks (experimental!) Автоматическое реферирование
Построение конкордансов
Морфологический анализ
Polsentilex: Sentiment Detection In Socio-Political Discussions On Russian Social Mediathis Work Is An Output Of A Research Project Implemented As Part Of The Basic Research Program At The National Research University Higher School Of Economics (Hse University). url annotation Koltcov S. N.
Koltsova O. Yu.
Alexeeva S. V.
Pashakhin Sergey
Saint-Petersburg State University, Saint-Petersburg, Russia
National Research University Higher School of Economics
AINL 2020 0.9790
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Автоматическое реферирование
Automatic Emotion Identification In Russian Text Messages url annotation Babii A.
Malafeev Alexey
Kazyulina M.
National Research University Higher School of Economics
AIST 2020 0.9783
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Автоматическое реферирование
Sentirueval: Testing Object-Oriented Sentiment Analysis Systems In Russian url annotation Tutubalina E. V.
Loukachevitch N. V.
Ivanov V. V.
Rubtsova Ju. V.
Blinov P. D.
Kotelnikov E. V.
Lomonosov Moscow State University, Moscow, Russia
Kazan (Volga Region) Federal University, Kazan, Russia
Vyatka State Humanities University, Kirov, Russia
A.P. Ershov Institute of Informatics Systems, Novosibirsk, Russia
Dialogue 2015 0.9780
Show tasks (experimental!) Построение конкордансов
Автоматическое реферирование
Морфологический анализ
Constructing Aspect-Based Sentiment Lexicons With Topic Modeling url annotation Nikolenko Sergey
Tutubalina E. V.
Steklov Mathematical Institute, St. Petersburg, Russia
Kazan (Volga Region) Federal University, Kazan, Russia
National Research University Higher School of Economics
Deloitte Analytics Institute, Moscow, Russia
AIST 2016 0.9780
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика
Combining Facts, Semantic Roles And Sentiment Lexicon In A Generative Model For Opinion Mining url annotation Feldman D. G.
Sadekova T. R.
Vorontsov K. V.
Lomonosov Moscow State University, Moscow, Russia
Moscow Institute of Physics and Technology, Moscow, Russia
Dialogue 2020 0.9778
Show tasks (experimental!) Построение конкордансов
Морфологический анализ
Дистрибутивная семантика

Creative Commons License
RusNLP by https://nlp.rusvectores.org is licensed under a
Creative Commons Attribution-ShareAlike 4.0 International License.