The result of sentiment analysis

Name: The result of sentiment analysis
Creator: Chingath, Vysakh
Published: 2024-12-28T00:00:00+08:00

Figshare2024-12-28 更新2026-04-08 收录

社交媒体情感

学术领域舆情监测

数据链接：

https://figshare.com/articles/dataset/The_result_of_sentiment_analysis/28103390/1 数据链接链接失效反馈

官方服务：

资源简介：

The dataset is the result of the sentiment analysis carried out in Orange software based on Twitter conversation on LIS research

提供机构：

Chingath, Vysakh

创建时间：

2024-12-28

Covid-19 dataset

社交媒体情感

公众情绪监测

This dataset contains curated text of tweet related to the covid-19 from 1st December to 9th January 2019. The dataset contains the original text and the sentiment label of the text.

Figshare2023-11-30 更新80

Example tweets with subjectivity and sentiment scores for each hashtag.

社交媒体情感

话题标签主观性分析

Example tweets with subjectivity and sentiment scores for each hashtag.

NIAID Data Ecosystem50

The average number of daily tweets (average #), together with the mean and standard deviation (s.d.) of tweetwise sentiment scores calculated from the RoBERTa method for different cities in different time periods.

社交媒体情感

城市情感趋势

The average number of daily tweets (average #), together with the mean and standard deviation (s.d.) of tweetwise sentiment scores calculated from the RoBERTa method for different cities in different

Figshare2023-02-24 更新30

frasem/sentiment-dataset

社交媒体情感

博客文本分类

TweetEval数据集是一个包含七种异构任务的Twitter多类推文分类基准测试集，当前配置仅展示情感分析任务。所有数据集均以相同格式和固定的训练、验证及测试分割呈现。数据集中的文本为Twitter用户使用的英语，情感标签分为负面（0）、中性（1）和正面（2）。数据集由Cardiff NLP团队创建，需遵守Twitter的服务条款和API使用条款。

Hugging Face2026-04-29 更新70

Coronavirus (COVID-19) Global Sentiment Trend

COVID-19

社交媒体情感

This dataset gives a cursory glimpse at the overall sentiment trend of the public discourse regarding the COVID-19 pandemic on Twitter. The live scatter plot of this dataset is available as The Overal

Mendeley Data2024-01-31 更新40

The result of sentiment analysis

资源简介：

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