...; model performance was assessed with confusion matrices, F1, Cohen’s κ and Gwet’s AC1. All processing was offline to protect data privacy. Findings Llama 3.3 achieved top performance (F1 ≈ 0.97, AC1 ≈ 0.97), while Llama 3.2 also excelled on consumer hardware. Automated sentiment analysis reduced...

... dimensions and 12 secondary indices. To assign appropriate weights to these indices, a hybrid evaluation method combining expert judgment with data-driven analysis was employed. Sentiment analysis was then performed to gauge public attitudes toward each index, enabling a comprehensive assessment...

...Saša Petalinkar; Ranka M. Stanković; Milica Ikonić Nešić Purpose This study aims to present the adaptation and improvement of resources for sentiment analysis based on the Serbian WordNet (SrpWN), aiming to create more efficient sentiment lexicons for Serbian. Design/methodology/approach...

... of sarcasm detection. © Emerald Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only Multimodal sarcasm detection Directed graph isomorphism network Multimodal factorized bilinear pooling Sentiment analysis Sentiment enhancement 21BTQ046 Sarcasm...

...Qingqing Li; Ziming Zeng; Shouqiang Sun; Tingting Li Purpose Aspect category-based sentiment analysis (ACSA) has been widely used in consumer preference mining and marketing strategy formulation. However, existing studies ignore the variability in features and the intrinsic correlation among...

.... Qingqing Zhou can be contacted at: breeze7zhou@163.com 12 03 2024 25 06 2024 28 08 2024 12 09 2024 © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Public opinion Dynamic interaction Sentiment analysis Network agenda...

...Srishti Sharma; Mala Saraswat Purpose The purpose of this research study is to improve sentiment analysis (SA) at the aspect level, which is accomplished through two independent goals of aspect term and opinion extraction and subsequent sentiment classification. Design/methodology/approach...

... rights only Stock prediction Knowledge graph Relevant stocks Knowledge graph embedding Sentiment analysis Muti-feature fusion A synthesis of existing research reveals that research methods for stock forecasting are advancing and performance has been significantly improved...

... and applies sentiment analysis, timing analysis and contrastive analysis in a case study on Wuhan, a central China megacity. Specifically, the city image constructed with social media text and the expected policy outcomes by the government are compared. Findings Results reveal gaps between the public’s...

...Mengjuan Zha; Changping Hu; Yu Shi Purpose Sentiment lexicon is an essential resource for sentiment analysis of user reviews. By far, there is still a lack of domain sentiment lexicon with large scale and high accuracy for Chinese book reviews. This paper aims to construct a large-scale sentiment...

... by COVID-19 epidemic. Also, sentimental analysis is performed to uncover the posters’ emotion towards the target policy. Design/methodology/approach This paper adopts bidirectional encoder representations from transformers (BERT) as classifier in classification tasks, including misinformation detection...

.... Sentiment analysis Distribution regularities Reviews mining Temporal characteristics The numbers of online reviews of the MacBook Air in JD.COM and Kindle in Amazon had been over 200k and 60k, respectively, in the mid of 2018. It is difficult for potential shoppers, businessmen and manufacturers...

... only Sentiment analysis User reviews Experience products Helpfulness assessment Search products Review helpfulness is interpreted as the perceived value of a given product for making buying decisions (Mudambi and Schuff, 2010). From this perspective, the most direct method...

...Chihli Hung; You-Xin Cao Purpose This paper aims to propose a novel approach which integrates collocations and domain concepts for Chinese cosmetic word of mouth (WOM) sentiment classification. Most sentiment analysis works by collecting sentiment scores from each unigram or bigram. However...

...XiaoBo Tang; Shixuan Li; Na Gu; MingLiang Tan Purpose This study aims to explore the repost features of microblogs acting to promote the information diffusion of government-generated content on social media. Design/methodology/approach This study proposes a topic−sentiment analysis using...

... association between the sentiment values and the rating scores, this study performs correlation analysis. For a clear explanation of the factors affecting the relationships between the sentiment value and the rating score, this study uses the concept-level sentiment analysis of online reviews. Findings...

...Hei Chia Wang; Yu Hung Chiang; Yi Feng Sun Purpose This paper aims to improve a sentiment analysis (SA) system to help users (i.e. customers or hotel managers) understand hotel evaluations. There are three main purposes in this paper: designing an unsupervised method for extracting online Chinese...

... review corpora (comprising Indian movie reviews and movie review polarities). Such corpora have a prominent place in the literature on sentiment analysis, where a review is classified as either positive or negative. This is a useful task, because movie reviews are harder to classify compared to other...

... applications Social networks Sentiment analysis Automated operations The development of applications for mobile devices (apps) has exploded in recent years. Practical and convenient, many apps have been installed on smartphones, allowing these devices to compete with desktop computers and attract...

...Ling Zhang; Wei Dong; Xiangming Mu Purpose This paper aims to address the challenge of analysing the features of negative sentiment tweets. The method adopted in this paper elucidates the classification of social network documents and paves the way for sentiment analysis of tweets in further...