Results 21 to 30 of about 4,618 (250)

A Blended Soft Computing Model for Stock Value Prediction

Jordanian Journal of Computers and Information Technology, 2023
Stock investments play a crucial role in deciding the global economic growth of the country. Investors can optimize profit and avoid risk through accurate stock value prediction models, which motivates researchers to work on various aspects of correlated
Usha Devi NSSSN, Dr. Mohan R
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Building a Sentiment Dictionary for Croatian [PDF]

, 2021
The work presented in this paper aims to provide the research community with a set of sentiment lexicons constructed by expanding existing sentiment dictionary resources for Croatian. Our corpus-based syntactic dependency graph approach to sentiment value propagation led us to release automatically generated sentiment lexicons.
Ban Kirigin, Tajana, Bujačić Babić, Sanda, Perak, Benedikt   +2 more
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Chinese Micro-Blog Sentiment Analysis Based on Multiple Sentiment Dictionaries and Semantic Rule Sets

IEEE Access, 2019
Sentiment analysis of Chinese micro-blog based on sentiment dictionary has become a challenging research subject in the field of artificial intelligence.
Jiesheng Wu, Kui Lu, Shuzhi Su, Shibing Wang   +3 more
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Sentiment Analysis of Chinese Comments Based on Hybrid Vector Model [PDF]

Jisuanji gongcheng, 2020
In order to solve the problem of insufficient expression of sentiment information in the TF-IDF model,this paper proposes the Senti model to extract the sentiment information in the text,including positive/negative sentiment words,negative words ...
CHEN Xi, ZHU Xiaodong, GAO Guangkuo, XIAO Fangxiong
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Research on traditional Mongolian sentiment analysis combined with prior knowledge [PDF]

E3S Web of Conferences, 2022
In order to solve some problems of traditional machine learning algorithms in Mongolian sentiment analysis tasks, such as low accuracy, few sentiment corpus, and poor training effect, a Traditional Mongolian sentiment classification algorithm integrates ...
Zhang Qian, Ren Qingdaoerji, Ji Yatu
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Chinese Implicit Sentiment Classification Combining Multiple Linguistic Features [PDF]

Jisuanji kexue, 2023
Sentiment analysis has always been a hot research direction in natural language processing.Implicit sentiment classification refers to the task of sentiment classification without explicit sentiment words.At present,implicit sentiment analysis is still ...
LU Liangqian, WANG Zhongqing, ZHOU Guodong
doaj   +1 more source

Target-Oriented Data Annotation for Emotion and Sentiment Analysis in Tourism Related Social Media Data

Future Internet, 2023
Social media have been a valuable data source for studying people’s opinions, intentions, and behaviours. Such a data source incorporating advanced big data analysis methods, such as machine-operated emotion and sentiment analysis, will open ...
Alireza Alaei, Ying Wang, Vinh Bui, Bela Stantic   +3 more
doaj   +1 more source

iTac: Aspect Based Sentiment Analysis using Sentiment Trees and Dictionaries [PDF]

Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014
This paper describes our approach for the fourth task of the SemEval 2014 challenge: Aspect Based Sentiment Analysis. Our system is designed to solve all four subtasks: (i) identifying aspect terms, (ii) determining the polarity of an aspect term, (iii) detecting aspect categories, and (iv) determining the polarity of a predefined aspect category.
Fritjof Bornebusch, Glaucia Cancino, Melanie Diepenbeck, Rolf Drechsler, Smith Djomkam, Alvine Nzeungang Fanseu, Maryam Jalali, Marc Michael, Jamal Mohsen, Max Nitze, Christina Plump, Mathias Soeken, Hubert Fred Tchambo, Toni, Henning Ziegler   +14 more
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Sentiment Classification Algorithm Based on the Cascade of BERT Model and Adaptive Sentiment Dictionary [PDF]

Wireless Communications and Mobile Computing, 2021
The mobile social network contains a large amount of information in a form of commentary. Effective analysis of the sentiment in the comments would help improve the recommendations in the mobile network. With the development of well‐performing pretrained language models, the performance of sentiment classification task based on deep learning has seen ...
Ruixue Duan, Zhuofan Huang, Yangsen Zhang, Xiulei Liu, Yue Dang   +4 more
openaire   +1 more source

SARCASM DETECTION IN PERSIAN

Journal of ICT, 2020
Sarcasm is a form of communication where the individual states the opposite of what is implied. Therefore, detecting a sarcastic tone is somewhat complicated due to its ambiguous nature.
Zahra Bokaee Nezhad, Mohammad Ali Deihimi   +1 more
doaj   +5 more sources