2019 International Russian Automation Conference (RusAutoCon) 2019
DOI: 10.1109/rusautocon.2019.8867775
|View full text |Cite
|
Sign up to set email alerts
|

Method for Sentiment Text Analysis based on Statistical and Semantic Properties of Words

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
0
0
1

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 16 publications
0
0
0
1
Order By: Relevance
“…Research that considered the statistics and the semantic methods for sentiment analysis is performed by [40]. The authors combined a machine learning approach that is based on statistical properties of the linguistics and word rules.…”
Section: Answer To Rq2: What Technical Methods Are Used For Sentiment...mentioning
confidence: 99%
See 1 more Smart Citation
“…Research that considered the statistics and the semantic methods for sentiment analysis is performed by [40]. The authors combined a machine learning approach that is based on statistical properties of the linguistics and word rules.…”
Section: Answer To Rq2: What Technical Methods Are Used For Sentiment...mentioning
confidence: 99%
“…The dataset used by the researchers was collected from the organizers of ROMIP, and these datasets are in three categories, which include book reviews from imhonet.ru, camera reviews from the Yandeks market, and movie reviews. Semantic-Based [39], [40] From our reviews, we found the methods used for sentiment analysis in aspect-based sentiment analysis to be lexicon-based, supervised learning, semi-supervised learning, unsupervised learning, and semantic-based methods. Lexicon-based methods appear to be the most used method among researchers.…”
Section: Answer To Rq2: What Technical Methods Are Used For Sentiment...mentioning
confidence: 99%
“…Этот тип граничных условий соответствует условиям антирезонанса. Ограничиваясь приближением нулевого порядка в (10, 11), получим из [11] условие для первого низкочастотного антирезонанса: 1k p 2 + k p 2 (1 + ν) [Δ 1 /Δ (J 1 (x 1 )b/a J 1 (x 2 )) + Δ 2 /Δ (N 1 (x 1 ) -b/a N 1 (x 2 ))]/(1b 2 /a 2 ) = 0. Здесь…”
Section: механика Mechanicsunclassified