IA Tweets Analysis Dataset (Spanish)

Cite as

Guerrero-Contreras, G., Balderas-Díaz, S., Serrano-Fernández, A., & Muñoz, A. (2024, June). Enhancing Sentiment Analysis on Social Media: Integrating Text and Metadata for Refined Insights. In 2024 International Conference on Intelligent Environments (IE) (pp. 62-69). IEEE.

General Description

This dataset comprises 4,038 tweets in Spanish, related to discussions about artificial intelligence (AI), and was created and utilized in the publication "Enhancing Sentiment Analysis on Social Media: Integrating Text and Metadata for Refined Insights," (10.1109/IE61493.2024.10599899) presented at the 20th International Conference on Intelligent Environments. It is designed to support research on public perception, sentiment, and engagement with AI topics on social media from a Spanish-speaking perspective. Each entry includes detailed annotations covering sentiment analysis, user engagement metrics, and user profile characteristics, among others.

Data Collection Method

Tweets were gathered through the Twitter API v1.1 by targeting keywords and hashtags associated with artificial intelligence, focusing specifically on content in Spanish. The dataset captures a wide array of discussions, offering a holistic view of the Spanish-speaking public's sentiment towards AI.

Dataset Content

ID: A unique identifier for each tweet.

text: The textual content of the tweet. It is a string with a maximum allowed length of 280 characters.

polarity: The tweet's sentiment polarity (e.g., Positive, Negative, Neutral).

favorite_count: Indicates how many times the tweet has been liked by Twitter users. It is a non-negative integer.

retweet_count: The number of times this tweet has been retweeted. It is a non-negative integer.

user_verified: When true, indicates that the user has a verified account, which helps the public recognize the authenticity of accounts of public interest. It is a boolean data type with two allowed values: True or False.

user_default_profile: When true, indicates that the user has not altered the theme or background of their user profile. It is a boolean data type with two allowed values: True or False.

user_has_extended_profile: When true, indicates that the user has an extended profile. An extended profile on Twitter allows users to provide more detailed information about themselves, such as an extended biography, a header image, details about their location, website, and other additional data. It is a boolean data type with two allowed values: True or False.

user_followers_count: The current number of followers the account has. It is a non-negative integer.

user_friends_count: The number of users that the account is following. It is a non-negative integer.

user_favourites_count: The number of tweets this user has liked since the account was created. It is a non-negative integer.

user_statuses_count: The number of tweets (including retweets) posted by the user. It is a non-negative integer.

user_protected: When true, indicates that this user has chosen to protect their tweets, meaning their tweets are not publicly visible without their permission. It is a boolean data type with two allowed values: True or False.

user_is_translator: When true, indicates that the user posting the tweet is a verified translator on Twitter. This means they have been recognized and validated by the platform as translators of content in different languages. It is a boolean data type with two allowed values: True or False.

Potential Use Cases

This dataset is aimed at academic researchers and practitioners with interests in:

Sentiment analysis and natural language processing (NLP) with a focus on AI discussions in the Spanish language.

Social media analysis on public engagement and perception of artificial intelligence among Spanish speakers.

Exploring correlations between user engagement metrics and sentiment in discussions about AI.

Data Format and File Type

The dataset is provided in CSV format, ensuring compatibility with a wide range of data analysis tools and programming environments.

License

The dataset is available under the Creative Commons Attribution 4.0 International (CC BY 4.0) license, permitting sharing, copying, distribution, transmission, and adaptation of the work for any purpose, including commercial, provided proper attribution is given.

引用格式
Guerrero-Contreras, G.、Balderas-Díaz, S.、Serrano-Fernández, A. 与 Muñoz, A. (2024年6月). 增强社交媒体情感分析：融合文本与元数据以获取精细化洞察. 收录于：2024年国际智能环境大会（2024 International Conference on Intelligent Environments, IE）. 电气与电子工程师协会（IEEE）, 第62-69页.

数据集概述
本数据集包含4038条西班牙语推文，主题围绕人工智能（AI）相关讨论，由论文《Enhancing Sentiment Analysis on Social Media: Integrating Text and Metadata for Refined Insights》（DOI: 10.1109/IE61493.2024.10599899）创建并使用，该论文发表于第20届国际智能环境大会。本数据集旨在支持西班牙语语境下，公众对社交媒体上AI议题的认知、情感倾向与参与度相关研究。每条数据均包含详尽标注，涵盖情感分析、用户参与度指标及用户档案特征等内容。

数据采集方法
本数据集通过Twitter API v1.1，以与人工智能相关的关键词及话题标签为检索目标，定向采集西班牙语推文。数据集覆盖多元讨论场景，可全面展现西班牙语使用者对人工智能的情感倾向。

数据集字段说明
1. ID：每条推文的唯一标识符。
2. text：推文的文本内容，为字符串类型，最大长度为280个字符。
3. polarity：推文的情感极性（如积极、消极、中性）。
4. favorite_count：该推文被Twitter用户点赞的总次数，为非负整数。
5. retweet_count：该推文被转发的总次数，为非负整数。
6. user_verified：布尔类型字段，取值为True或False。当取值为True时，表示该用户账号已通过平台验证，便于公众识别公共利益账号的真实性。
7. user_default_profile：布尔类型字段，取值为True或False。当取值为True时，表示用户未修改个人主页的主题或背景。
8. user_has_extended_profile：布尔类型字段，取值为True或False。当取值为True时，表示用户开通了扩展档案。Twitter扩展档案允许用户提供更详细的个人信息，如扩展简介、头部图片、位置详情、网站链接及其他附加数据。
9. user_followers_count：该账号当前的粉丝总数，为非负整数。
10. user_friends_count：该账号关注的用户总数，为非负整数。
11. user_favourites_count：该账号自创建以来点赞的推文总数量，为非负整数。
12. user_statuses_count：该用户发布的推文（含转发）总数量，为非负整数。
13. user_protected：布尔类型字段，取值为True或False。当取值为True时，表示用户已设置推文保护，未经授权无法公开查看其推文。
14. user_is_translator：布尔类型字段，取值为True或False。当取值为True时，表示该推文发布者为Twitter平台认证译者，即已被平台认证为多语言内容翻译者。

潜在应用场景
本数据集面向关注以下领域的学术研究者与从业者：
1. 以西班牙语AI讨论为核心的情感分析与自然语言处理（Natural Language Processing, NLP）研究；
2. 西班牙语使用者对人工智能的公众参与度与认知的社交媒体分析；
3. 探索AI讨论中用户参与度指标与情感倾向间的关联。

数据格式与文件类型
本数据集采用CSV格式存储，可兼容绝大多数数据分析工具与编程环境。

许可证
本数据集采用知识共享署名4.0国际许可（Creative Commons Attribution 4.0 International, CC BY 4.0），允许在标注原作者的前提下，出于任何目的（包括商业用途）对作品进行共享、复制、分发、传播与改编。