The emotional information was automatically extracted with an automatic sentiment detection tool whose reliability was tested with human coders. Ordinary least squares regression models were used to estimate the strength of sentiments. The models controlled for the number of video views and comments, ...
It contains annotations that allow to develop classifiers for several important NLP tasks: (i) sentiment analysis, (ii) text categorization (relatedness of a comment to video and/or product), (iii) spam detection, and (iv) prediction of comment informativeness. The SenTube corpus favors the ...
被引量: 0发表: 2024年 Analysis of YouTube video contents on Koha and DSpace, and sentiment analysis of viewers' comments Purpose The purpose of the study is to evaluate certain characteristics of the videos of the software Koha and DSpace posted on YouTube. Since YouTube has ... M Deori...
Contrasting with existing works that majorly prioritize sentiment or stance detection accuracy, our paper emphasizes a broader understanding of the digital climate discourse, unearthing behavioral nuances and interaction patterns on social media platforms. Our analysis unravels the interaction dynamics between ...
关键词: opinion mining text mining sentiment detection 会议名称: International conference on information & knowledge engineering 被引量: 1 收藏 引用 批量引用 报错 分享 全部来源 免费下载 求助全文 掌桥科研 worldcomp-proceedings.com worldcomp-proceedings.com (全网免费下载) 相似文献 参考文献 引证文献...
Opinion MiningUnbalanced Data setsMachine LearningText ClassificationWith the emergence of Web 2.0, Sentiment Analysis is receiving more and more attention. ... A Mountassir,H Benbrahim,I Berrada - IEEE International Conference on Systems 被引量: 52发表: 2012年 Cross-lingual polarity detection with...
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In fact, the proposed hybrid framework is based on semantic and sentiment aspects using fuzzy lattice reasoning to meaningful latent-topic detection and utilizing sentiment analysis of user comments of the Oscar-nominated movie trailers on YouTube. Based on the word vector feature, classification ...
Further research could employ an aspect-based sentiment analysis37 and stance detection approach38 to extract more specific fear towards vaccines. However, these methods might be less accurate if direct references to vaccines are not present in the target text. Also, although fear is an important ...
A different platform (e.g., YouTube) may have elicited different results as it has been noted that Twitter is an environment that can produce negative sentiment (Dyson and Gorvin, 2017; Thelwall et al., 2011). This negativity was evident in a study by O'Dea et al. (2018) who found...