Results 21 to 30 of about 51,938 (169)
CoRR, 2020 Modern technological era has reshaped traditional lifestyle in several domains. The medium of publishing news and events has become faster with the advancement of Information Technology. IT has also been flooded with immense amounts of data, which is being published every minute of every day, by millions of users, in the shape of comments, blogs, news ...
Antony Samuels, John Mcgonical
openaire +2 more sources
TWITTER SENTIMENT ANALYSIS [PDF]
i-manager's Journal on Computer Science, 2021 In this report, address the problem of sentiment classification on twitter dataset. used a number of machine learning and deep learning methods to perform sentiment analysis. In the end, used a majority vote ensemble method with 5 of our best models to achieve the classification accuracy of 83.58% on kaggle public leaderboard.
openaire +3 more sources
Using sentiment analysis in tourism research: A systematic, bibliometric, and integrative review [PDF]
Journal of Tourism, Heritage & Services Marketing, 2021 Purpose: Sentiment analysis is built from the information provided through text (reviews) to help understand the social sentiment toward their brand, product, or service.
Franciele Cristina Manosso +1 more
doaj +1 more source
Summary of Multi-modal Sentiment Analysis Technology
Jisuanji kexue yu tansuo, 2021 Sentiment analysis refers to the use of computers to automatically analyze and determine the emotions that people want to express. It can play a significant role in human-computer interaction and criminal investigation and solving cases.
LIU Jiming, ZHANG Peixiang, LIU Ying, ZHANG Weidong, FANG Jie
doaj +1 more source
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 +3 more
doaj +1 more source
Sentiment Analysis in Turkish [PDF]
, 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
IEEE 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
Sentiment analysis and prediction model based on Chinese government affairs microblogs
Heliyon, 2023 Existing sentiment analysis research on Chinese government affairs microblogs primarily focuses on the task of sentiment classification on microblogs. There has been a lack of investigation into the correlation of each government affairs microblog with ...
Meng Li, Yucheng Shi
doaj +1 more source
Multimodal Sentiment Analysis: A Survey
Displays, 2023 It needs to be returned for major ...
Songning Lai +4 more
openaire +2 more sources
Bayesian estimation‐based sentiment word embedding model for sentiment analysis
CAAI 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