Atex. a rule-based sentiment analysis system processing texts in various topics. Сиcтема cентиментного анализа ATEX, оcнованная на правилах, при обработке текcтов различных тематик. / Panicheva, P.
Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (Бекасово, 29 мая — 2 июня 2013 г.). Вып. 12 (19).. 2013. p. 101-112.Research output: Chapter in Book/Report/Conference proceeding › Article in an anthology
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TY - CHAP
T1 - Atex. a rule-based sentiment analysis system processing texts in various topics. Сиcтема cентиментного анализа ATEX, оcнованная на правилах, при обработке текcтов различных тематик.
AU - Panicheva, P.
PY - 2013
Y1 - 2013
N2 - ATEX is a rule-based sentiment analysis system for texts in the Russian language. It includes full morpho-syntactic analysis of Russian text, and highly elaborated linguistic rules, yielding fine-grained sentiment scores. ATEX is participating in a variety of sentiment analysis tracks at ROMIP 2012. The system was tuned to process news texts in politics and economy. The performance of the system is evaluated in different topics: blogs on movies, books and cameras; news. No additional training is performed: ATEX is tested as a universal ‘ready-to-use’ system for sentiment analysis of texts in different topics and different classification settings. The system is compared to a number of sentiment analysis algorithms, including statistical ones trained with datasets in respective topics. Overall system performance is very high, which indicates high usability of the system to different topics with no actual training. According to expectations, the results are especially good in the ‘native’ political and economic
AB - ATEX is a rule-based sentiment analysis system for texts in the Russian language. It includes full morpho-syntactic analysis of Russian text, and highly elaborated linguistic rules, yielding fine-grained sentiment scores. ATEX is participating in a variety of sentiment analysis tracks at ROMIP 2012. The system was tuned to process news texts in politics and economy. The performance of the system is evaluated in different topics: blogs on movies, books and cameras; news. No additional training is performed: ATEX is tested as a universal ‘ready-to-use’ system for sentiment analysis of texts in different topics and different classification settings. The system is compared to a number of sentiment analysis algorithms, including statistical ones trained with datasets in respective topics. Overall system performance is very high, which indicates high usability of the system to different topics with no actual training. According to expectations, the results are especially good in the ‘native’ political and economic
KW - Rule-based sentiment analysis
KW - sentiment classification
KW - Russian language processing
KW - ROMIP
M3 - статья в сборнике
SP - 101
EP - 112
BT - Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной Международной конференции «Диалог» (Бекасово, 29 мая — 2 июня 2013 г.). Вып. 12 (19).
ER -
ID: 4687620