Results 11 to 20 of about 4,438 (260)
IEEE Access, 2022 The most commonly used methods in text sentiment analysis are rule-based sentiment dictionary and machine learning, with the later referring to the use of vectors to represent text followed by the use of machine learning to classify the vectors.
Hao Liu, Xi Chen, Xiaoxiao Liu
doaj +1 more source
Connection Science, 2022 Sentiment classification can provide the decision support of social applications such as trend judgment, public opinion monitoring, etc. However, the accuracy of sentiment classification for Chinese Weibo is still not satisfactory due to the complexity ...
Zhongliang Wei +4 more
doaj +1 more source
Sentiment Classification of News Text Data Using Intelligent Model
Frontiers in Psychology, 2021 Text sentiment classification is a fundamental sub-area in natural language processing. The sentiment classification algorithm is highly domain-dependent.
Shitao Zhang
doaj +1 more source
Creating sentiment dictionaries via triangulation [PDF]
Decision Support Systems, 2012 The paper presents a semi-automatic approach to creating sentiment dictionaries in many languages. We first produced high-level gold-standard sentiment dictionaries for two languages and then translated them automatically into third languages. Those words that can be found in both target language word lists are likely to be useful because their word ...
Steinberger, J. +9 more
openaire +2 more sources
Sentiment analysis method of comment text based on word vector with sentiment information
Journal of Hebei University of Science and Technology, 2021 In order to solve the problem of low accuracy of sentiment classification caused by neglecting the sentiment information of words in distributed word representation method,an improved sentiment analysis method incorporating weighted word vectors of ...
Meiyuan LYU +3 more
doaj +1 more source
Exploring E-Commerce Product Experience Based on Fusion Sentiment Analysis Method
IEEE Access, 2022 With the speedy development of e-commerce, a growing number of customers tend to share their subjective perceptions of the product or service on the Internet. This phenomenon makes the commercial value of online reviews increasingly prominent.
Huaqian He, Guijun Zhou, Shuang Zhao
doaj +1 more source
PLoS ONE, 2023 Natural language processing of medical records offers tremendous potential to improve the patient experience. Sentiment analysis of clinical notes has been performed with mixed results, often highlighting the issue that dictionary ratings are not domain ...
Danne C Elbers +8 more
doaj +1 more source
Implementing Sentiment Dictionary into Vader Sentiment Analyis for Croatian [PDF]
, 2021 We describe the processes of 1) sequential propagation of sentiment values of nouns, adjectives, verbs and proper nouns from the multilingual SenticNet 6 sentiment dictionary using ENGRI corpus coordination syntactic- dependency ; 2) extrapolation of lemma values to word forms ; 3) implementation of the generated sentiment dictionary and Vader rule ...
Ban Kirigin, Tajana +2 more
openaire +3 more sources
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
doaj +1 more source
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
doaj +1 more source