Sentiment analysis (supervised and unsupervised classification) of original Twitter data posted in English about the 10th anniversary of the 2010 Haiti Earthquake
收藏DataCite Commons2022-04-22 更新2025-04-16 收录
下载链接:
https://data.ncl.ac.uk/articles/dataset/Sentiment_analysis_supervised_and_unsupervised_classification_of_original_Twitter_data_posted_in_English_about_the_10th_anniversary_of_the_2010_Haiti_Earthquake/19478021
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资源简介:
This database contains the sentiment analysis (SA) of original tweets posted in English by users related to the 10<sup>th</sup> anniversary of the 2010 Haitian earthquake. This classification includes supervised and unsupervised classification. The latest one was performed using the no-code machine learning (ML) platform for text analysis: MonkeyLearn comparing the classification's confidence and accuracy (ACC) when training the algorithm with the 1, 5 and 10 per cent of the tweets. We can observe that the confidence and the ACC in the classification increase as the number of trained tweets.
提供机构:
Newcastle University
创建时间:
2022-03-31



