Dark Mode
WhatsApp Status Emotion Classification Data
Social Media and Networking
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset provides textual data specifically designed for the prediction of human emotion. It consists of WhatsApp status updates written in English, which have been scraped from various websites. The dataset focuses on three basic emotions: sad, happy, and angry, with each emotion's data having been scraped separately. The primary goal of this dataset is to facilitate the determination and prediction of emotion within WhatsApp status messages, offering valuable insights into short-form text sentiment.
Columns
- status: Contains the actual WhatsApp status text, serving as the primary input for emotion analysis.
- sentiment: Represents the corresponding human emotion associated with the status, categorised as either sad, happy, or angry.
Distribution
The dataset is comprised of textual data, typically provided in a CSV file format. Its structure is straightforward, with each record containing a status message and its assigned sentiment. Specific numbers for rows or records, detailing the dataset's size, are not currently available.
Usage
This dataset is ideally suited for a variety of applications and use cases, including:
- Developing and training machine learning models for emotion prediction and sentiment analysis.
- Building Natural Language Processing (NLP) applications that require text classification based on emotional content.
- Conducting research in sentiment analysis and emotional intelligence from social media text.
- Creating AI-driven tools to understand and categorise user sentiment from short text inputs.
- Exploring patterns and trends in emotional expression within social media contexts.
Coverage
The geographic scope of the data is global, reflecting WhatsApp usage across various regions. There is no specific time range provided for when the status updates were collected. The demographic scope is not explicitly defined but pertains to general users who post WhatsApp statuses in English.
License
CCO
Who Can Use It
- Data Scientists and Machine Learning Engineers looking to build or enhance emotion detection algorithms.
- Natural Language Processing Researchers interested in text classification and sentiment analysis.
- Software Developers creating applications that benefit from understanding user sentiment from textual input.
- Academics and students focusing on social media analysis, computational linguistics, or AI research.
Dataset Name Suggestions
- WhatsApp Status Emotion Classification Data
- English Textual Emotion Dataset
- Social Media Sentiment Data for WhatsApp
- Emotion Prediction from WhatsApp Statuses
- Text-based Emotion Analysis Dataset
Attributes
Original Data Source: Emotion Data For Whatsapp Status
QUALITY