Results 31 to 40 of about 22,264,370 (303)

Integrating interactivity into visualising sentiment analysis of blogs [PDF]

open access: yes, 2010
With an increased amount of freely available online resources and strong interest in automatic crawling and analysis on such resources, suitable visualisation techniques to present the results of such analysis present an important agenda for the ...
O'Hare, Neil   +4 more
core   +3 more sources

The Applications of Sentiment Analysis for Russian Language Texts: Current Challenges and Future Perspectives

open access: yesIEEE Access, 2020
Sentiment analysis has become a powerful tool in processing and analysing expressed opinions on a large scale. While the application of sentiment analysis on English-language content has been widely examined, the applications on the Russian language ...
Sergey Smetanin
doaj   +1 more source

Multimodal Sentiment Analysis: A Survey

open access: yesDisplays, 2023
It needs to be returned for major ...
Songning Lai   +4 more
openaire   +4 more sources

Bayesian estimation‐based sentiment word embedding model for sentiment analysis

open access: yesCAAI Transactions on Intelligence Technology, 2022
Sentiment word embedding has been extensively studied and used in sentiment analysis tasks. However, most existing models have failed to differentiate high‐frequency and low‐frequency words.
Jingyao Tang   +7 more
doaj   +1 more source

Sentiment Analysis in Turkish [PDF]

open access: yes, 2018
In this chapter, we give an overview of sentiment analysis problem and present a system to estimate the sentiment of movie reviews in Turkish. Our approach combines supervised learning and lexicon-based approaches, making use of a recently constructed Turkish polarity lexicon called SentiTurkNet.
Gezici, Gizem, Yanıkoğlu, Berrin
openaire   +3 more sources

Classifying sentiment in microblogs: is brevity an advantage? [PDF]

open access: yes, 2010
Microblogs as a new textual domain offer a unique proposition for sentiment analysis. Their short document length suggests any sentiment they contain is compact and explicit.
Bermingham, Adam   +4 more
core   +2 more sources

Text sentiment visual analysis technology and its application in humanities

open access: yes大数据, 2022
Sentiment analysis is the mining of information sentiment tendency, which is mainly used for public opinion monitoring, commodity review analysis, and information retrieval.With the rapid development of social media, the volume of text data has shown ...
Lingli ZHANG   +6 more
doaj  

A Barrage Sentiment Analysis Scheme Based on Expression and Tone

open access: yesIEEE Access, 2019
Most of existing methods do not consider the influence of expression and tone on barrage sentiment analysis. This decreases the effect and accuracy of barrage sentiment analysis.
Zongmin Cui   +5 more
doaj   +1 more source

Micro-Blog Sentiment Analysis Based on Linguistic Context [PDF]

open access: yesJisuanji gongcheng, 2017
Traditional sentiment analysis method only considers a single text,and the recognition rate of sentiment polarity is low when the micro-blog text is short and colloquial.In order to solve this problem,a kind of sentiment analysis method combined with ...
QIN Feng,WANG Heng,ZHENG Xiao,WANG Xiujun
doaj   +1 more source

Challenges and Issues in Sentiment Analysis: A Comprehensive Survey

open access: yesIEEE Access, 2023
Sentiment analysis, a specialization of natural language processing (NLP), has witnessed significant progress since its emergence in the late 1990s, owing to the swift advances in deep learning techniques and the abundance of vast digital datasets ...
Nilaa Raghunathan   +1 more
doaj   +1 more source

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