Datasets:
multilinguality:
- multilingual
size_categories:
- 100K<n<1M
source_datasets:
- kaggle
task_categories:
- text-classification
task_ids:
- sentiment-classification
tags:
- datasets
- bitcoin
- text-classification
- sentiment-analysis
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
- split: eval
path: data/eval-*
dataset_info:
features:
- name: Date
dtype: string
- name: text
dtype: string
- name: Sentiment
dtype: string
splits:
- name: train
num_bytes: 12842246
num_examples: 77791
- name: test
num_bytes: 1609120
num_examples: 9724
- name: eval
num_bytes: 1598297
num_examples: 9724
download_size: 9868625
dataset_size: 16049663
Dataset Card for "Bitcoin Tweets ("
Table of Contents
Dataset Summary
This dataset contains a collection of 16 million tweets related to Bitcoin, collected from Twitter. Each tweet is tagged with sentiment (positive, negative, neutral). The dataset was originally created and uploaded to Kaggle by user gauravduttakiit. It is a valuable resource for training and evaluating models for sentiment analysis within the context of cryptocurrency discussions.
Supported Tasks and Leaderboards
text-classification
: This dataset can be used to train a model for sentiment analysis. The performance of the model can be evaluated using standard metrics like accuracy, F1 score, precision, and recall.
Languages
The text data is primarily in English.
Dataset Structure
Data Instances
Each instance in the dataset contains the following fields:
tweet
: the text of the tweet.sentiment
: the sentiment of the tweet, labeled as either "positive", "negative", or "neutral".
Data Fields
tweet
: a string containing the text of the tweet.sentiment
: a string indicating the sentiment of the tweet.
Data Splits
The dataset is not explicitly split into training, validation, and test sets. Users will need to create these splits as per their requirements.
Dataset Creation
Curation Rationale
The dataset was curated to analyze the sentiment within the cryptocurrency community, specifically focusing on Bitcoin.
Source Data
Initial Data Collection and Normalization
The data was collected from Twitter using specific keywords related to Bitcoin. For more details regarding data collection, one can refer to the original Kaggle dataset.
Who are the source data providers?
The data was provided by Kaggle user gauravduttakiit.
Annotations
The sentiment labels were generated using automated sentiment analysis tools. For more details, refer to the original Kaggle dataset.
Dataset Distribution
Dataset Curators
The dataset was curated by gauravduttakiit and uploaded to Kaggle.
Licensing Information
Refer to the original Kaggle dataset for licensing information.